Journal of Geographic Information System

Journal of Geographic Information System

ISSN Print: 2151-1950
ISSN Online: 2151-1969
www.scirp.org/journal/jgis
E-mail: jgis@scirp.org
"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):
  • Google Scholar
  • CrossRef
[1] Assessing relationship of forest biophysical factors with NDVI for carbon management in key coniferous strata of temperate Himalayas
2021
[2] Exploring the potential of Sentinel-2A satellite data for aboveground biomass estimation in fragmented Himalayan subtropical pine forest
2020
[3] برآورد بیوماس روزمینی جنگل در جنگل های هیرکانی با استفاده از داده های ماهواره ای‎
2020
[4] Estimation of the Grassland Aboveground Biomass of the Inner Mongolia Plateau Using the Simulated Spectra of Sentinel-2 Images
2020
[5] Estimation of forest above ground biomass in Hyrcanian forests using satellite imagery
2020
[6] Biomass Estimation Using Synergy of ALOS-PALSAR and Landsat Data in Tropical Forests of Brazil
2020
[7] Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat …
2020
[8] Mapping mango area using multi-temporal feature extraction from Sentinel 1A SAR data in Dharmapuri, Krishnagiri and Salem districts of Tamil Nadu.
2019
[9] Mapping forest dynamics in Bangladesh from satellite images: Implications for the global REDD+ program
2019
[10] DeepSWIR: A deep learning based approach for the synthesis of short-wave infrared band using multi-sensor concurrent datasets
2019
[11] Remote Estimation of Biomass in Winter Oilseed Rape (Brassica napus L.) Using Canopy Hyperspectral Data at Different Growth Stages
2019
[12] Detecting canopy damage caused by Uromycladium acaciae on South African Black Wattle forest compartments using moderate resolution satellite imagery
2019
[13] 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
[14] 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
[15] 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
2018
Free SCIRP Newsletters
Copyright © 2006-2022 Scientific Research Publishing Inc. All Rights Reserved.
Top