Combining TanDEM-X and Sentinel-2 for large-area species-wise prediction of forest biomass and volume

Author:

Persson Henrik J.,Jonzén Jonas,Nilsson Mats

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference51 articles.

1. Estimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery;Alan;ISPRS J. Photogramm. Remote Sens.,2017

2. On the Sensitivity of TanDEM-X-Observations to Boreal Forest Structure;Askne;Remote Sens.,2019

3. Biomass Growth from Multi-Temporal TanDEM-X Interferometric Synthetic Aperture Radar Observations of a Boreal Forest Site;Askne;Remote Sens.,2018

4. Estimating forest biomass dynamics by integrating multi-temporal Landsat satellite images with ground and airborne LiDAR data in the Coal Valley Mine, Alberta, Canada;Badreldin;Remote Sens.,2015

5. Brandel, G., 1990. Volymfunktioner för enskilda Träd : tall, gran och björk = Volume functions for individual trees: Scots pine (Pinus sylvestris), Norway spruce (Picea abies) and birch (Betula pendula & Betula pubescens). Swedish University of Agricultural Sciences, Garpenberg.

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