Aboveground Biomass Prediction by Fusing Gedi Footprints with Optical and SAR Data Using the Random Forest in the Mixed Tropical Forest, India

被引:0
|
作者
Gupta, Rajit [1 ]
Sharma, Laxmi Kant [1 ]
机构
[1] School of Earth Sciences, Central University of Rajasthan, Department of Environmental Science, Rajasthan, India
来源
International Geoscience and Remote Sensing Symposium (IGARSS) | 2022年 / 2022-July卷
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:5460 / 5463
相关论文
共 50 条
  • [1] ABOVEGROUND BIOMASS PREDICTION BY FUSING GEDI FOOTPRINTS WITH OPTICAL AND SAR DATA USING THE RANDOM FOREST IN THE MIXED TROPICAL FOREST, INDIA
    Gupta, Rajit
    Sharma, Laxmi Kant
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 5460 - 5463
  • [2] Mapping tropical forest aboveground biomass using airborne SAR tomography
    Ramachandran, Naveen
    Saatchi, Sassan
    Tebaldini, Stefano
    d'Alessandro, Mauro Mariotti
    Dikshit, Onkar
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [3] Mapping tropical forest aboveground biomass using airborne SAR tomography
    Naveen Ramachandran
    Sassan Saatchi
    Stefano Tebaldini
    Mauro Mariotti d’Alessandro
    Onkar Dikshit
    Scientific Reports, 13
  • [4] Forest Height and Aboveground Biomass Mapping by synergistic use of GEDI and Sentinel Data using Random Forest Algorithm in the Indian Himalayan Region
    Bhandari, Konica
    Srinet, Ritika
    Nandy, Subrata
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2024, 52 (04) : 857 - 869
  • [5] Forest Height and Aboveground Biomass Mapping by synergistic use of GEDI and Sentinel Data using Random Forest Algorithm in the Indian Himalayan Region
    Konica Bhandari
    Ritika Srinet
    Subrata Nandy
    Journal of the Indian Society of Remote Sensing, 2024, 52 : 857 - 869
  • [6] Mapping the spatial distribution of Colombia's forest aboveground biomass using SAR and optical data
    Rodriguez-Veiga, P.
    Barbosa-Herrera, A. P.
    Barreto-Silva, J. S.
    Bispo, P. C.
    Cabrera, E.
    Capachero, C.
    Galindo, G.
    Gou, Y.
    Moreno, L. M.
    Louis, V.
    Lozano, P.
    Pacheco-Pascagaza, A. M.
    Pachon-Cendales, I. P.
    Phillips-Bernal, J. F.
    Roberts, J.
    Salinas, N. R.
    Vergara, L.
    Zuluaga, A. C.
    Balzter, H.
    ISPRS TECHNICAL COMMISSION III WG III/2, 10 JOINT WORKSHOP MULTIDISCIPLINARY REMOTE SENSING FOR ENVIRONMENTAL MONITORING, 2019, 42-3 (W7): : 57 - 60
  • [7] Assessment of multi-wavelength SAR and multispectral instrument data for forest aboveground biomass mapping using random forest kriging
    Chen, Lin
    Wang, Yeqiao
    Ren, Chunying
    Zhang, Bai
    Wang, Zongming
    FOREST ECOLOGY AND MANAGEMENT, 2019, 447 : 12 - 25
  • [8] Aboveground-Biomass Estimation of a Complex Tropical Forest in India Using Lidar
    Vega, Cedric
    Vepakomma, Udayalakshmi
    Morel, Jules
    Bader, Jean-Luc
    Rajashekar, Gopalakrishnan
    Jha, Chandra Shekhar
    Feret, Jerome
    Proisy, Christophe
    Pelissier, Raphael
    Dadhwal, Vinay Kumar
    REMOTE SENSING, 2015, 7 (08) : 10607 - 10625
  • [9] Combination of SAR Polarimetric Parameters for Estimating Tropical Forest Aboveground Biomass
    Truong Thi Cat Tuong
    Tani, Hiroshi
    Wang, Xiufeng
    Nguyen Quang Thang
    Ha Manh Bui
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2020, 29 (05): : 3353 - 3365
  • [10] Evaluating SAR-optical sensor fusion for aboveground biomass estimation in a Brazilian tropical forest
    Debastiani, Aline Bernarda
    Sanquetta, Carlos Roberto
    Dalla Corte, Ana Paula
    Rex, Franciel Eduardo
    Pinto, Naiara Sardinha
    ANNALS OF FOREST RESEARCH, 2019, 62 (01) : 109 - 122