Mapping forests in monsoon Asia with ALOS PALSAR 50-m mosaic images and MODIS imagery in 2010

被引:0
|
作者
Yuanwei Qin
Xiangming Xiao
Jinwei Dong
Geli Zhang
Partha Sarathi Roy
Pawan Kumar Joshi
Hammad Gilani
Manchiraju Sri Ramachandra Murthy
Cui Jin
Jie Wang
Yao Zhang
Bangqian Chen
Michael Angelo Menarguez
Chandrashekhar M. Biradar
Rajen Bajgain
Xiangping Li
Shengqi Dai
Ying Hou
Fengfei Xin
Berrien Moore III
机构
[1] Center for Spatial Analysis,Department of Microbiology and Plant Biology
[2] University of Oklahoma,undefined
[3] Institute of Biodiversity Science,undefined
[4] Fudan University,undefined
[5] University Center for Earth and Space Science,undefined
[6] University of Hyderabad,undefined
[7] School of Environmental Sciences,undefined
[8] Jawaharlal Nehru University,undefined
[9] International Centre for Integrated Mountain Development,undefined
[10] Danzhou Investigation & Experiment Station of Tropical Cops,undefined
[11] Ministry of Agriculture,undefined
[12] Rubber Research Institute,undefined
[13] Chinese Academy of Tropical Agricultural Sciences,undefined
[14] International Center for Agricultural Research in the Dry Areas,undefined
[15] College of Atmospheric and Geographic Science,undefined
[16] University of Oklahoma,undefined
来源
Scientific Reports | / 6卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Extensive forest changes have occurred in monsoon Asia, substantially affecting climate, carbon cycle and biodiversity. Accurate forest cover maps at fine spatial resolutions are required to qualify and quantify these effects. In this study, an algorithm was developed to map forests in 2010, with the use of structure and biomass information from the Advanced Land Observation System (ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR) mosaic dataset and the phenological information from MODerate Resolution Imaging Spectroradiometer (MOD13Q1 and MOD09A1) products. Our forest map (PALSARMOD50 m F/NF) was assessed through randomly selected ground truth samples from high spatial resolution images and had an overall accuracy of 95%. Total area of forests in monsoon Asia in 2010 was estimated to be ~6.3 × 106 km2. The distribution of evergreen and deciduous forests agreed reasonably well with the median Normalized Difference Vegetation Index (NDVI) in winter. PALSARMOD50 m F/NF map showed good spatial and areal agreements with selected forest maps generated by the Japan Aerospace Exploration Agency (JAXA F/NF), European Space Agency (ESA F/NF), Boston University (MCD12Q1 F/NF), Food and Agricultural Organization (FAO FRA) and University of Maryland (Landsat forests), but relatively large differences and uncertainties in tropical forests and evergreen and deciduous forests.
引用
收藏
相关论文
共 15 条
  • [1] Mapping forests in monsoon Asia with ALOS PALSAR 50-m mosaic images and MODIS imagery in 2010
    Qin, Yuanwei
    Xiao, Xiangming
    Dong, Jinwei
    Zhang, Geli
    Roy, Partha Sarathi
    Joshi, Pawan Kumar
    Gilani, Hammad
    Murthy, Manchiraju Sri Ramachandra
    Jin, Cui
    Wang, Jie
    Zhang, Yao
    Chen, Bangqian
    Menarguez, Michael Angelo
    Biradar, Chandrashekhar M.
    Bajgain, Rajen
    Li, Xiangping
    Dai, Shengqi
    Hou, Ying
    Xin, Fengfei
    Moore, Berrien, III
    SCIENTIFIC REPORTS, 2016, 6
  • [2] Mapping Oil Palm Plantations in Cameroon Using PALSAR 50-m Orthorectified Mosaic Images
    Li, Li
    Dong, Jinwei
    Tenku, Simon Njeudeng
    Xiao, Xiangming
    REMOTE SENSING, 2015, 7 (02): : 1206 - 1224
  • [3] Mapping evergreen forests in the Brazilian Amazon using MODIS and PALSAR 500-m mosaic imagery
    Sheldon, Sage
    Xiao, Xiangming
    Biradar, Chandrashekhar
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2012, 74 : 34 - 40
  • [4] A 50-m Forest Cover Map in Southeast Asia from ALOS/PALSAR and Its Application on Forest Fragmentation Assessment
    Dong, Jinwei
    Xiao, Xiangming
    Sheldon, Sage
    Biradar, Chandrashekhar
    Zhang, Geli
    Nguyen Dinh Duong
    Hazarika, Manzul
    Wikantika, Ketut
    Takeuhci, Wataru
    Moore, Berrien, III
    PLOS ONE, 2014, 9 (01):
  • [5] Development of aboveground mangrove forests' biomass dataset for Southeast Asia based on ALOS-PALSAR 25-m mosaic
    Darmawan, Soni
    Sari, Dewi K.
    Takeuchi, Wataru
    Wikantika, Ketut
    Hernawati, Rika
    JOURNAL OF APPLIED REMOTE SENSING, 2019, 13 (04):
  • [6] Assessment of ALOS PALSAR 25-m mosaic data for land cover mapping
    Abdikan, Saygin
    Bayik, Caglar
    2017 9TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTITEMP), 2017,
  • [7] Mapping tropical forests and rubber plantations in complex landscapes by integrating PALSAR and MODIS imagery
    Dong, Jinwei
    Xiao, Xiangming
    Sheldon, Sage
    Biradar, Chandrashekhar
    Xie, Guishui
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2012, 74 : 20 - 33
  • [8] Mapping of flood risk areas with alos palsar images: a case study in Belém (PA)
    Vieira, Marcia Rafaela Souza
    Vinagre, Marco Valerio de Albuquerque
    Lobo, Marco Aurelio Arbage
    Lima, Alberto Carlos de Melo
    Ponte, Marcio Jose Moutinho da
    REVISTA ACTA GEOGRAFICA, 2022, 16 (40): : 47 - 63
  • [9] ANALYSIS OF EFFECTIVE WINDOW SIZE IN TEXTURE-BASED CLASSIFICATION OF 2007-2010 ALOS PALSAR 25M MOSAIC IMAGES
    Parinas, Margie T.
    Paringit, Enrico C.
    2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 1525 - 1528
  • [10] Separability of insular Southeast Asian woody plantation species in the 50 m resolution ALOS PALSAR mosaic product
    Miettinen, Jukka
    Liew, Soo Chin
    REMOTE SENSING LETTERS, 2011, 2 (04) : 299 - 307