Remote Sensing approach to evaluate anthropogenic influences on Forest Cover of Palamau Tiger Reserve, Eastern India

Background Tropical forests have been experiencing remarkable rates of transformation over the past century as they are getting degraded or decimated to a great extent by anthropogenic activities. This study aims at investigating the long-term forest cover transformation in Palamau Tiger Reserve (PTR), Jharkhand, India, using Landsat TM, $ ETM^{+} $, and OLI satellite images during 1975–2015. The forest cover was delineated utilizing various keys of visual interpretation techniques. Results The forest cover was primarily decreased in the north-eastern and north-western parts in PTR. In order to identify the anthropogenic disturbance in the forest reserve, human settlement density was mapped using high-resolution Google Earth imagery. The results showed a positive correlation between human population density and settlement density. Five major affected sites with an outer buffer of 2 km were demarcated in order to deduce the anthropogenic influences in major non-forested sites in PTR. It was observed that the forest change was maximum at site 3 (Ranidah, area 61.06 $ km^{2} $, − 6.47% change) followed by site 2 (Saidup, area 124.38 $ km^{2} $, − 7.65% change), where settlement units were also high (2638 and 2621 settlement units, respectively). At site 1 (Barkheta, area 81.59 $ km^{2} $), − 1.99% change was observed, and at site 4 (Samadh Tola, area 9.15 $ km^{2} $), 1.03% change was observed having moderate settlement units (2422 and 1892 settlement units, respectively). Areas with the low level of human settlements (1038 settlement units) observed the least change, i.e., at site 5 (Netarhat, area 48.52 $ km^{2} $), 0.58% change was observed mainly during the years. Conclusions The forest cover exhibited an overall decrease of 14.55 $ km^{2} $ (− 1.34% change) with episodic variation during 1975–2015 in PTR, Eastern India. A significant forest disturbance occurred primarily in the north-eastern and north-western parts of PTR along the forest fringe due to the high population and settlement density. The study highlighted the potential use of freely available multi-temporal satellite observations in forest management. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Kumari, Binita [verfasserIn] Pandey, Arvind Chandra [verfasserIn] Kumar, Amit [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Population density Settlement density Remote sensing and GIS Palamau Tiger Reserve

Übergeordnetes Werk:	Enthalten in: Ecological Processes - Heidelberg : SpringerOpen, 2012, 9(2020), 1 vom: 02. Apr.
Übergeordnetes Werk:	volume:9 ; year:2020 ; number:1 ; day:02 ; month:04

Links:	Volltext

DOI / URN:	10.1186/s13717-020-0219-z

Katalog-ID:	SPR039278417

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520			\|a Background Tropical forests have been experiencing remarkable rates of transformation over the past century as they are getting degraded or decimated to a great extent by anthropogenic activities. This study aims at investigating the long-term forest cover transformation in Palamau Tiger Reserve (PTR), Jharkhand, India, using Landsat TM, $ ETM^{+} $, and OLI satellite images during 1975–2015. The forest cover was delineated utilizing various keys of visual interpretation techniques. Results The forest cover was primarily decreased in the north-eastern and north-western parts in PTR. In order to identify the anthropogenic disturbance in the forest reserve, human settlement density was mapped using high-resolution Google Earth imagery. The results showed a positive correlation between human population density and settlement density. Five major affected sites with an outer buffer of 2 km were demarcated in order to deduce the anthropogenic influences in major non-forested sites in PTR. It was observed that the forest change was maximum at site 3 (Ranidah, area 61.06 $ km^{2} $, − 6.47% change) followed by site 2 (Saidup, area 124.38 $ km^{2} $, − 7.65% change), where settlement units were also high (2638 and 2621 settlement units, respectively). At site 1 (Barkheta, area 81.59 $ km^{2} $), − 1.99% change was observed, and at site 4 (Samadh Tola, area 9.15 $ km^{2} $), 1.03% change was observed having moderate settlement units (2422 and 1892 settlement units, respectively). Areas with the low level of human settlements (1038 settlement units) observed the least change, i.e., at site 5 (Netarhat, area 48.52 $ km^{2} $), 0.58% change was observed mainly during the years. Conclusions The forest cover exhibited an overall decrease of 14.55 $ km^{2} $ (− 1.34% change) with episodic variation during 1975–2015 in PTR, Eastern India. A significant forest disturbance occurred primarily in the north-eastern and north-western parts of PTR along the forest fringe due to the high population and settlement density. The study highlighted the potential use of freely available multi-temporal satellite observations in forest management.
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allfields	10.1186/s13717-020-0219-z doi (DE-627)SPR039278417 (SPR)s13717-020-0219-z-e DE-627 ger DE-627 rakwb eng 333.7 ASE Kumari, Binita verfasserin aut Remote Sensing approach to evaluate anthropogenic influences on Forest Cover of Palamau Tiger Reserve, Eastern India 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Tropical forests have been experiencing remarkable rates of transformation over the past century as they are getting degraded or decimated to a great extent by anthropogenic activities. This study aims at investigating the long-term forest cover transformation in Palamau Tiger Reserve (PTR), Jharkhand, India, using Landsat TM, $ ETM^{+} $, and OLI satellite images during 1975–2015. The forest cover was delineated utilizing various keys of visual interpretation techniques. Results The forest cover was primarily decreased in the north-eastern and north-western parts in PTR. In order to identify the anthropogenic disturbance in the forest reserve, human settlement density was mapped using high-resolution Google Earth imagery. The results showed a positive correlation between human population density and settlement density. Five major affected sites with an outer buffer of 2 km were demarcated in order to deduce the anthropogenic influences in major non-forested sites in PTR. It was observed that the forest change was maximum at site 3 (Ranidah, area 61.06 $ km^{2} $, − 6.47% change) followed by site 2 (Saidup, area 124.38 $ km^{2} $, − 7.65% change), where settlement units were also high (2638 and 2621 settlement units, respectively). At site 1 (Barkheta, area 81.59 $ km^{2} $), − 1.99% change was observed, and at site 4 (Samadh Tola, area 9.15 $ km^{2} $), 1.03% change was observed having moderate settlement units (2422 and 1892 settlement units, respectively). Areas with the low level of human settlements (1038 settlement units) observed the least change, i.e., at site 5 (Netarhat, area 48.52 $ km^{2} $), 0.58% change was observed mainly during the years. Conclusions The forest cover exhibited an overall decrease of 14.55 $ km^{2} $ (− 1.34% change) with episodic variation during 1975–2015 in PTR, Eastern India. A significant forest disturbance occurred primarily in the north-eastern and north-western parts of PTR along the forest fringe due to the high population and settlement density. The study highlighted the potential use of freely available multi-temporal satellite observations in forest management. Population density (dpeaa)DE-He213 Settlement density (dpeaa)DE-He213 Remote sensing and GIS (dpeaa)DE-He213 Palamau Tiger Reserve (dpeaa)DE-He213 Pandey, Arvind Chandra verfasserin aut Kumar, Amit verfasserin aut Enthalten in Ecological Processes Heidelberg : SpringerOpen, 2012 9(2020), 1 vom: 02. Apr. (DE-627)732623693 (DE-600)2694945-3 2192-1709 nnns volume:9 year:2020 number:1 day:02 month:04 https://dx.doi.org/10.1186/s13717-020-0219-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2020 1 02 04
spelling	10.1186/s13717-020-0219-z doi (DE-627)SPR039278417 (SPR)s13717-020-0219-z-e DE-627 ger DE-627 rakwb eng 333.7 ASE Kumari, Binita verfasserin aut Remote Sensing approach to evaluate anthropogenic influences on Forest Cover of Palamau Tiger Reserve, Eastern India 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Tropical forests have been experiencing remarkable rates of transformation over the past century as they are getting degraded or decimated to a great extent by anthropogenic activities. This study aims at investigating the long-term forest cover transformation in Palamau Tiger Reserve (PTR), Jharkhand, India, using Landsat TM, $ ETM^{+} $, and OLI satellite images during 1975–2015. The forest cover was delineated utilizing various keys of visual interpretation techniques. Results The forest cover was primarily decreased in the north-eastern and north-western parts in PTR. In order to identify the anthropogenic disturbance in the forest reserve, human settlement density was mapped using high-resolution Google Earth imagery. The results showed a positive correlation between human population density and settlement density. Five major affected sites with an outer buffer of 2 km were demarcated in order to deduce the anthropogenic influences in major non-forested sites in PTR. It was observed that the forest change was maximum at site 3 (Ranidah, area 61.06 $ km^{2} $, − 6.47% change) followed by site 2 (Saidup, area 124.38 $ km^{2} $, − 7.65% change), where settlement units were also high (2638 and 2621 settlement units, respectively). At site 1 (Barkheta, area 81.59 $ km^{2} $), − 1.99% change was observed, and at site 4 (Samadh Tola, area 9.15 $ km^{2} $), 1.03% change was observed having moderate settlement units (2422 and 1892 settlement units, respectively). Areas with the low level of human settlements (1038 settlement units) observed the least change, i.e., at site 5 (Netarhat, area 48.52 $ km^{2} $), 0.58% change was observed mainly during the years. Conclusions The forest cover exhibited an overall decrease of 14.55 $ km^{2} $ (− 1.34% change) with episodic variation during 1975–2015 in PTR, Eastern India. A significant forest disturbance occurred primarily in the north-eastern and north-western parts of PTR along the forest fringe due to the high population and settlement density. The study highlighted the potential use of freely available multi-temporal satellite observations in forest management. Population density (dpeaa)DE-He213 Settlement density (dpeaa)DE-He213 Remote sensing and GIS (dpeaa)DE-He213 Palamau Tiger Reserve (dpeaa)DE-He213 Pandey, Arvind Chandra verfasserin aut Kumar, Amit verfasserin aut Enthalten in Ecological Processes Heidelberg : SpringerOpen, 2012 9(2020), 1 vom: 02. Apr. (DE-627)732623693 (DE-600)2694945-3 2192-1709 nnns volume:9 year:2020 number:1 day:02 month:04 https://dx.doi.org/10.1186/s13717-020-0219-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2020 1 02 04
allfields_unstemmed	10.1186/s13717-020-0219-z doi (DE-627)SPR039278417 (SPR)s13717-020-0219-z-e DE-627 ger DE-627 rakwb eng 333.7 ASE Kumari, Binita verfasserin aut Remote Sensing approach to evaluate anthropogenic influences on Forest Cover of Palamau Tiger Reserve, Eastern India 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Tropical forests have been experiencing remarkable rates of transformation over the past century as they are getting degraded or decimated to a great extent by anthropogenic activities. This study aims at investigating the long-term forest cover transformation in Palamau Tiger Reserve (PTR), Jharkhand, India, using Landsat TM, $ ETM^{+} $, and OLI satellite images during 1975–2015. The forest cover was delineated utilizing various keys of visual interpretation techniques. Results The forest cover was primarily decreased in the north-eastern and north-western parts in PTR. In order to identify the anthropogenic disturbance in the forest reserve, human settlement density was mapped using high-resolution Google Earth imagery. The results showed a positive correlation between human population density and settlement density. Five major affected sites with an outer buffer of 2 km were demarcated in order to deduce the anthropogenic influences in major non-forested sites in PTR. It was observed that the forest change was maximum at site 3 (Ranidah, area 61.06 $ km^{2} $, − 6.47% change) followed by site 2 (Saidup, area 124.38 $ km^{2} $, − 7.65% change), where settlement units were also high (2638 and 2621 settlement units, respectively). At site 1 (Barkheta, area 81.59 $ km^{2} $), − 1.99% change was observed, and at site 4 (Samadh Tola, area 9.15 $ km^{2} $), 1.03% change was observed having moderate settlement units (2422 and 1892 settlement units, respectively). Areas with the low level of human settlements (1038 settlement units) observed the least change, i.e., at site 5 (Netarhat, area 48.52 $ km^{2} $), 0.58% change was observed mainly during the years. Conclusions The forest cover exhibited an overall decrease of 14.55 $ km^{2} $ (− 1.34% change) with episodic variation during 1975–2015 in PTR, Eastern India. A significant forest disturbance occurred primarily in the north-eastern and north-western parts of PTR along the forest fringe due to the high population and settlement density. The study highlighted the potential use of freely available multi-temporal satellite observations in forest management. Population density (dpeaa)DE-He213 Settlement density (dpeaa)DE-He213 Remote sensing and GIS (dpeaa)DE-He213 Palamau Tiger Reserve (dpeaa)DE-He213 Pandey, Arvind Chandra verfasserin aut Kumar, Amit verfasserin aut Enthalten in Ecological Processes Heidelberg : SpringerOpen, 2012 9(2020), 1 vom: 02. Apr. (DE-627)732623693 (DE-600)2694945-3 2192-1709 nnns volume:9 year:2020 number:1 day:02 month:04 https://dx.doi.org/10.1186/s13717-020-0219-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2020 1 02 04
allfieldsGer	10.1186/s13717-020-0219-z doi (DE-627)SPR039278417 (SPR)s13717-020-0219-z-e DE-627 ger DE-627 rakwb eng 333.7 ASE Kumari, Binita verfasserin aut Remote Sensing approach to evaluate anthropogenic influences on Forest Cover of Palamau Tiger Reserve, Eastern India 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Tropical forests have been experiencing remarkable rates of transformation over the past century as they are getting degraded or decimated to a great extent by anthropogenic activities. This study aims at investigating the long-term forest cover transformation in Palamau Tiger Reserve (PTR), Jharkhand, India, using Landsat TM, $ ETM^{+} $, and OLI satellite images during 1975–2015. The forest cover was delineated utilizing various keys of visual interpretation techniques. Results The forest cover was primarily decreased in the north-eastern and north-western parts in PTR. In order to identify the anthropogenic disturbance in the forest reserve, human settlement density was mapped using high-resolution Google Earth imagery. The results showed a positive correlation between human population density and settlement density. Five major affected sites with an outer buffer of 2 km were demarcated in order to deduce the anthropogenic influences in major non-forested sites in PTR. It was observed that the forest change was maximum at site 3 (Ranidah, area 61.06 $ km^{2} $, − 6.47% change) followed by site 2 (Saidup, area 124.38 $ km^{2} $, − 7.65% change), where settlement units were also high (2638 and 2621 settlement units, respectively). At site 1 (Barkheta, area 81.59 $ km^{2} $), − 1.99% change was observed, and at site 4 (Samadh Tola, area 9.15 $ km^{2} $), 1.03% change was observed having moderate settlement units (2422 and 1892 settlement units, respectively). Areas with the low level of human settlements (1038 settlement units) observed the least change, i.e., at site 5 (Netarhat, area 48.52 $ km^{2} $), 0.58% change was observed mainly during the years. Conclusions The forest cover exhibited an overall decrease of 14.55 $ km^{2} $ (− 1.34% change) with episodic variation during 1975–2015 in PTR, Eastern India. A significant forest disturbance occurred primarily in the north-eastern and north-western parts of PTR along the forest fringe due to the high population and settlement density. The study highlighted the potential use of freely available multi-temporal satellite observations in forest management. Population density (dpeaa)DE-He213 Settlement density (dpeaa)DE-He213 Remote sensing and GIS (dpeaa)DE-He213 Palamau Tiger Reserve (dpeaa)DE-He213 Pandey, Arvind Chandra verfasserin aut Kumar, Amit verfasserin aut Enthalten in Ecological Processes Heidelberg : SpringerOpen, 2012 9(2020), 1 vom: 02. Apr. (DE-627)732623693 (DE-600)2694945-3 2192-1709 nnns volume:9 year:2020 number:1 day:02 month:04 https://dx.doi.org/10.1186/s13717-020-0219-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2020 1 02 04
allfieldsSound	10.1186/s13717-020-0219-z doi (DE-627)SPR039278417 (SPR)s13717-020-0219-z-e DE-627 ger DE-627 rakwb eng 333.7 ASE Kumari, Binita verfasserin aut Remote Sensing approach to evaluate anthropogenic influences on Forest Cover of Palamau Tiger Reserve, Eastern India 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Tropical forests have been experiencing remarkable rates of transformation over the past century as they are getting degraded or decimated to a great extent by anthropogenic activities. This study aims at investigating the long-term forest cover transformation in Palamau Tiger Reserve (PTR), Jharkhand, India, using Landsat TM, $ ETM^{+} $, and OLI satellite images during 1975–2015. The forest cover was delineated utilizing various keys of visual interpretation techniques. Results The forest cover was primarily decreased in the north-eastern and north-western parts in PTR. In order to identify the anthropogenic disturbance in the forest reserve, human settlement density was mapped using high-resolution Google Earth imagery. The results showed a positive correlation between human population density and settlement density. Five major affected sites with an outer buffer of 2 km were demarcated in order to deduce the anthropogenic influences in major non-forested sites in PTR. It was observed that the forest change was maximum at site 3 (Ranidah, area 61.06 $ km^{2} $, − 6.47% change) followed by site 2 (Saidup, area 124.38 $ km^{2} $, − 7.65% change), where settlement units were also high (2638 and 2621 settlement units, respectively). At site 1 (Barkheta, area 81.59 $ km^{2} $), − 1.99% change was observed, and at site 4 (Samadh Tola, area 9.15 $ km^{2} $), 1.03% change was observed having moderate settlement units (2422 and 1892 settlement units, respectively). Areas with the low level of human settlements (1038 settlement units) observed the least change, i.e., at site 5 (Netarhat, area 48.52 $ km^{2} $), 0.58% change was observed mainly during the years. Conclusions The forest cover exhibited an overall decrease of 14.55 $ km^{2} $ (− 1.34% change) with episodic variation during 1975–2015 in PTR, Eastern India. A significant forest disturbance occurred primarily in the north-eastern and north-western parts of PTR along the forest fringe due to the high population and settlement density. The study highlighted the potential use of freely available multi-temporal satellite observations in forest management. Population density (dpeaa)DE-He213 Settlement density (dpeaa)DE-He213 Remote sensing and GIS (dpeaa)DE-He213 Palamau Tiger Reserve (dpeaa)DE-He213 Pandey, Arvind Chandra verfasserin aut Kumar, Amit verfasserin aut Enthalten in Ecological Processes Heidelberg : SpringerOpen, 2012 9(2020), 1 vom: 02. Apr. (DE-627)732623693 (DE-600)2694945-3 2192-1709 nnns volume:9 year:2020 number:1 day:02 month:04 https://dx.doi.org/10.1186/s13717-020-0219-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 9 2020 1 02 04
language	English
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This study aims at investigating the long-term forest cover transformation in Palamau Tiger Reserve (PTR), Jharkhand, India, using Landsat TM, $ ETM^{+} $, and OLI satellite images during 1975–2015. The forest cover was delineated utilizing various keys of visual interpretation techniques. Results The forest cover was primarily decreased in the north-eastern and north-western parts in PTR. In order to identify the anthropogenic disturbance in the forest reserve, human settlement density was mapped using high-resolution Google Earth imagery. The results showed a positive correlation between human population density and settlement density. Five major affected sites with an outer buffer of 2 km were demarcated in order to deduce the anthropogenic influences in major non-forested sites in PTR. It was observed that the forest change was maximum at site 3 (Ranidah, area 61.06 $ km^{2} $, − 6.47% change) followed by site 2 (Saidup, area 124.38 $ km^{2} $, − 7.65% change), where settlement units were also high (2638 and 2621 settlement units, respectively). At site 1 (Barkheta, area 81.59 $ km^{2} $), − 1.99% change was observed, and at site 4 (Samadh Tola, area 9.15 $ km^{2} $), 1.03% change was observed having moderate settlement units (2422 and 1892 settlement units, respectively). Areas with the low level of human settlements (1038 settlement units) observed the least change, i.e., at site 5 (Netarhat, area 48.52 $ km^{2} $), 0.58% change was observed mainly during the years. Conclusions The forest cover exhibited an overall decrease of 14.55 $ km^{2} $ (− 1.34% change) with episodic variation during 1975–2015 in PTR, Eastern India. 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title	Remote Sensing approach to evaluate anthropogenic influences on Forest Cover of Palamau Tiger Reserve, Eastern India
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title_full	Remote Sensing approach to evaluate anthropogenic influences on Forest Cover of Palamau Tiger Reserve, Eastern India
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title_sort	remote sensing approach to evaluate anthropogenic influences on forest cover of palamau tiger reserve, eastern india
title_auth	Remote Sensing approach to evaluate anthropogenic influences on Forest Cover of Palamau Tiger Reserve, Eastern India
abstract	Background Tropical forests have been experiencing remarkable rates of transformation over the past century as they are getting degraded or decimated to a great extent by anthropogenic activities. This study aims at investigating the long-term forest cover transformation in Palamau Tiger Reserve (PTR), Jharkhand, India, using Landsat TM, $ ETM^{+} $, and OLI satellite images during 1975–2015. The forest cover was delineated utilizing various keys of visual interpretation techniques. Results The forest cover was primarily decreased in the north-eastern and north-western parts in PTR. In order to identify the anthropogenic disturbance in the forest reserve, human settlement density was mapped using high-resolution Google Earth imagery. The results showed a positive correlation between human population density and settlement density. Five major affected sites with an outer buffer of 2 km were demarcated in order to deduce the anthropogenic influences in major non-forested sites in PTR. It was observed that the forest change was maximum at site 3 (Ranidah, area 61.06 $ km^{2} $, − 6.47% change) followed by site 2 (Saidup, area 124.38 $ km^{2} $, − 7.65% change), where settlement units were also high (2638 and 2621 settlement units, respectively). At site 1 (Barkheta, area 81.59 $ km^{2} $), − 1.99% change was observed, and at site 4 (Samadh Tola, area 9.15 $ km^{2} $), 1.03% change was observed having moderate settlement units (2422 and 1892 settlement units, respectively). Areas with the low level of human settlements (1038 settlement units) observed the least change, i.e., at site 5 (Netarhat, area 48.52 $ km^{2} $), 0.58% change was observed mainly during the years. Conclusions The forest cover exhibited an overall decrease of 14.55 $ km^{2} $ (− 1.34% change) with episodic variation during 1975–2015 in PTR, Eastern India. A significant forest disturbance occurred primarily in the north-eastern and north-western parts of PTR along the forest fringe due to the high population and settlement density. The study highlighted the potential use of freely available multi-temporal satellite observations in forest management.
abstractGer	Background Tropical forests have been experiencing remarkable rates of transformation over the past century as they are getting degraded or decimated to a great extent by anthropogenic activities. This study aims at investigating the long-term forest cover transformation in Palamau Tiger Reserve (PTR), Jharkhand, India, using Landsat TM, $ ETM^{+} $, and OLI satellite images during 1975–2015. The forest cover was delineated utilizing various keys of visual interpretation techniques. Results The forest cover was primarily decreased in the north-eastern and north-western parts in PTR. In order to identify the anthropogenic disturbance in the forest reserve, human settlement density was mapped using high-resolution Google Earth imagery. The results showed a positive correlation between human population density and settlement density. Five major affected sites with an outer buffer of 2 km were demarcated in order to deduce the anthropogenic influences in major non-forested sites in PTR. It was observed that the forest change was maximum at site 3 (Ranidah, area 61.06 $ km^{2} $, − 6.47% change) followed by site 2 (Saidup, area 124.38 $ km^{2} $, − 7.65% change), where settlement units were also high (2638 and 2621 settlement units, respectively). At site 1 (Barkheta, area 81.59 $ km^{2} $), − 1.99% change was observed, and at site 4 (Samadh Tola, area 9.15 $ km^{2} $), 1.03% change was observed having moderate settlement units (2422 and 1892 settlement units, respectively). Areas with the low level of human settlements (1038 settlement units) observed the least change, i.e., at site 5 (Netarhat, area 48.52 $ km^{2} $), 0.58% change was observed mainly during the years. Conclusions The forest cover exhibited an overall decrease of 14.55 $ km^{2} $ (− 1.34% change) with episodic variation during 1975–2015 in PTR, Eastern India. A significant forest disturbance occurred primarily in the north-eastern and north-western parts of PTR along the forest fringe due to the high population and settlement density. The study highlighted the potential use of freely available multi-temporal satellite observations in forest management.
abstract_unstemmed	Background Tropical forests have been experiencing remarkable rates of transformation over the past century as they are getting degraded or decimated to a great extent by anthropogenic activities. This study aims at investigating the long-term forest cover transformation in Palamau Tiger Reserve (PTR), Jharkhand, India, using Landsat TM, $ ETM^{+} $, and OLI satellite images during 1975–2015. The forest cover was delineated utilizing various keys of visual interpretation techniques. Results The forest cover was primarily decreased in the north-eastern and north-western parts in PTR. In order to identify the anthropogenic disturbance in the forest reserve, human settlement density was mapped using high-resolution Google Earth imagery. The results showed a positive correlation between human population density and settlement density. Five major affected sites with an outer buffer of 2 km were demarcated in order to deduce the anthropogenic influences in major non-forested sites in PTR. It was observed that the forest change was maximum at site 3 (Ranidah, area 61.06 $ km^{2} $, − 6.47% change) followed by site 2 (Saidup, area 124.38 $ km^{2} $, − 7.65% change), where settlement units were also high (2638 and 2621 settlement units, respectively). At site 1 (Barkheta, area 81.59 $ km^{2} $), − 1.99% change was observed, and at site 4 (Samadh Tola, area 9.15 $ km^{2} $), 1.03% change was observed having moderate settlement units (2422 and 1892 settlement units, respectively). Areas with the low level of human settlements (1038 settlement units) observed the least change, i.e., at site 5 (Netarhat, area 48.52 $ km^{2} $), 0.58% change was observed mainly during the years. Conclusions The forest cover exhibited an overall decrease of 14.55 $ km^{2} $ (− 1.34% change) with episodic variation during 1975–2015 in PTR, Eastern India. A significant forest disturbance occurred primarily in the north-eastern and north-western parts of PTR along the forest fringe due to the high population and settlement density. The study highlighted the potential use of freely available multi-temporal satellite observations in forest management.
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title_short	Remote Sensing approach to evaluate anthropogenic influences on Forest Cover of Palamau Tiger Reserve, Eastern India
url	https://dx.doi.org/10.1186/s13717-020-0219-z
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author2	Pandey, Arvind Chandra Kumar, Amit
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doi_str	10.1186/s13717-020-0219-z
up_date	2024-07-03T23:04:27.634Z
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