Dynamic Monitoring of Agricultural Fires in China from 2010 to 2014 Using MODIS and GlobeLand30 Data

In the summer and autumn, which is the primary cropland planting preparation and harvest time, cropland burning is very common in China. The Moderate Resolution Imaging Spectroradiometer (MODIS) Terra active fire product (MOD14) and GlobeLand30-2010 data are used here to analyze the fire activity of...
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Autor*in:	Huan Xie [verfasserIn] Li Du [verfasserIn] Sicong Liu [verfasserIn] Lei Chen [verfasserIn] Sa Gao [verfasserIn] Shuang Liu [verfasserIn] Haiyan Pan [verfasserIn] Xiaohua Tong [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	MODIS GlobeLand30 land cover data agricultural fire

Übergeordnetes Werk:	In: ISPRS International Journal of Geo-Information - MDPI AG, 2012, 5(2016), 10, p 172
Übergeordnetes Werk:	volume:5 ; year:2016 ; number:10, p 172

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/ijgi5100172

Katalog-ID:	DOAJ004151917

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source	In ISPRS International Journal of Geo-Information 5(2016), 10, p 172 volume:5 year:2016 number:10, p 172
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authorswithroles_txt_mv	Huan Xie @@aut@@ Li Du @@aut@@ Sicong Liu @@aut@@ Lei Chen @@aut@@ Sa Gao @@aut@@ Shuang Liu @@aut@@ Haiyan Pan @@aut@@ Xiaohua Tong @@aut@@
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callnumber-first	G - Geography, Anthropology, Recreation
author	Huan Xie
spellingShingle	Huan Xie misc G1-922 misc MODIS misc GlobeLand30 land cover data misc agricultural fire misc Geography (General) Dynamic Monitoring of Agricultural Fires in China from 2010 to 2014 Using MODIS and GlobeLand30 Data
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topic_title	G1-922 Dynamic Monitoring of Agricultural Fires in China from 2010 to 2014 Using MODIS and GlobeLand30 Data MODIS GlobeLand30 land cover data agricultural fire
topic	misc G1-922 misc MODIS misc GlobeLand30 land cover data misc agricultural fire misc Geography (General)
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title	Dynamic Monitoring of Agricultural Fires in China from 2010 to 2014 Using MODIS and GlobeLand30 Data
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title_full	Dynamic Monitoring of Agricultural Fires in China from 2010 to 2014 Using MODIS and GlobeLand30 Data
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title_sort	dynamic monitoring of agricultural fires in china from 2010 to 2014 using modis and globeland30 data
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title_auth	Dynamic Monitoring of Agricultural Fires in China from 2010 to 2014 Using MODIS and GlobeLand30 Data
abstract	In the summer and autumn, which is the primary cropland planting preparation and harvest time, cropland burning is very common in China. The Moderate Resolution Imaging Spectroradiometer (MODIS) Terra active fire product (MOD14) and GlobeLand30-2010 data are used here to analyze the fire activity of the predominant land cover types. A total of 44,852 scenes of MOD14 images and MOD03 images are used, covering the whole of China from 20 May to 31 October during 2010 to 2014. Agricultural burning is a significant contributor to fire activity in China, and accounts for 60% on average of all the fire activity over the last five years. The spatial and temporal distribution of agricultural burning in seven different geographical regions is analyzed in detail. The experiments showed that the Central and Eastern China regions are the largest contributors to agricultural burning, producing 59%–80% of all the agricultural fires. At the national scale, the number of agricultural fire counts peak in June, which is associated primarily with winter burning of wheat croplands.
abstractGer	In the summer and autumn, which is the primary cropland planting preparation and harvest time, cropland burning is very common in China. The Moderate Resolution Imaging Spectroradiometer (MODIS) Terra active fire product (MOD14) and GlobeLand30-2010 data are used here to analyze the fire activity of the predominant land cover types. A total of 44,852 scenes of MOD14 images and MOD03 images are used, covering the whole of China from 20 May to 31 October during 2010 to 2014. Agricultural burning is a significant contributor to fire activity in China, and accounts for 60% on average of all the fire activity over the last five years. The spatial and temporal distribution of agricultural burning in seven different geographical regions is analyzed in detail. The experiments showed that the Central and Eastern China regions are the largest contributors to agricultural burning, producing 59%–80% of all the agricultural fires. At the national scale, the number of agricultural fire counts peak in June, which is associated primarily with winter burning of wheat croplands.
abstract_unstemmed	In the summer and autumn, which is the primary cropland planting preparation and harvest time, cropland burning is very common in China. The Moderate Resolution Imaging Spectroradiometer (MODIS) Terra active fire product (MOD14) and GlobeLand30-2010 data are used here to analyze the fire activity of the predominant land cover types. A total of 44,852 scenes of MOD14 images and MOD03 images are used, covering the whole of China from 20 May to 31 October during 2010 to 2014. Agricultural burning is a significant contributor to fire activity in China, and accounts for 60% on average of all the fire activity over the last five years. The spatial and temporal distribution of agricultural burning in seven different geographical regions is analyzed in detail. The experiments showed that the Central and Eastern China regions are the largest contributors to agricultural burning, producing 59%–80% of all the agricultural fires. At the national scale, the number of agricultural fire counts peak in June, which is associated primarily with winter burning of wheat croplands.
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container_issue	10, p 172
title_short	Dynamic Monitoring of Agricultural Fires in China from 2010 to 2014 Using MODIS and GlobeLand30 Data
url	https://doi.org/10.3390/ijgi5100172 https://doaj.org/article/a2037bf81b6148ec9d77a51d0e48fc0a http://www.mdpi.com/2220-9964/5/10/172 https://doaj.org/toc/2220-9964
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author2	Li Du Sicong Liu Lei Chen Sa Gao Shuang Liu Haiyan Pan Xiaohua Tong
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Dynamic Monitoring of Agricultural Fires in China from 2010 to 2014 Using MODIS and GlobeLand30 Data

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