Above Ground Biomass Assessment from Combined Optical and SAR Remote Sensing Data in Surat Thani Province, Thailand

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ISSN Print: 2151-1950
ISSN Online: 2151-1969

Website: https://www.scirp.org/journal/jgis/
E-mail: jgis@scirp.org

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Submission

"Above Ground Biomass Assessment from Combined Optical and SAR Remote Sensing Data in Surat Thani Province, Thailand"
written by Kilaparthi Kiran Kumar, Masahiko Nagai, Apichon Witayangkurn, Kunnaree Kritiyutanant, Shinichi Nakamura,
published by Journal of Geographic Information System, Vol.8 No.4, 2016

has been cited by the following article(s):

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[6]	Detecting canopy damage caused by Uromycladium acaciae on South African Black Wattle forest compartments using moderate resolution satellite imagery
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[7]	Remote Estimation of Biomass in Winter Oilseed Rape (Brassica napus L.) Using Canopy Hyperspectral Data at Different Growth Stages
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[8]	Dinâmica de ocorrência de incêndios florestais em unidade de conservação influenciada por diversos usos e cobertura do solo: APA Gama e Cabeça de Veado–DF
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[9]	Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data
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[10]	Estimating and mapping forest biomass using regression models and Spot-6 images (case study: Hyrcanian forests of north of Iran)
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[1]	Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory PLOS ONE, 2020 DOI:10.1371/journal.pone.0226341

[2]	Estimation of the Grassland Aboveground Biomass of the Inner Mongolia Plateau Using the Simulated Spectra of Sentinel-2 Images Remote Sensing, 2020 DOI:10.3390/rs12244155

[3]	Exploring the potential of Sentinel-2A satellite data for aboveground biomass estimation in fragmented Himalayan subtropical pine forest Journal of Mountain Science, 2020 DOI:10.1007/s11629-019-5968-8

[4]	Remote Estimation of Biomass in Winter Oilseed Rape (Brassica napus L.) Using Canopy Hyperspectral Data at Different Growth Stages Applied Sciences, 2019 DOI:10.3390/app9030545

[5]	Estimating and mapping forest biomass using regression models and Spot-6 images (case study: Hyrcanian forests of north of Iran) Environmental Monitoring and Assessment, 2018 DOI:10.1007/s10661-018-6725-0

[6]	Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data Journal of Applied Remote Sensing, 2018 DOI:10.1117/1.JRS.12.016008