Spaceborne height models reveal above ground biomass changes in tropical landscapes-Reference-Cited by-同舟云学术

Spaceborne height models reveal above ground biomass changes in tropical landscapes

Published:2021-10 Issue: Volume:497 Page:119497
ISSN:0378-1127
Container-title:Forest Ecology and Management
language:en
Short-container-title:Forest Ecology and Management

Author:

Schlund Michael,Kotowska Martyna M.,Brambach Fabian,Hein Jonas,Wessel Birgit,Camarretta Nicolò,Silalahi Mangarah,Surati Jaya I Nengah,Erasmi Stefan,Leuschner Christoph,Kreft Holger

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference82 articles.

1. Integrating remotely sensed fires for predicting deforestation for REDD+;Armenteras;Ecol. Appl.,2017

2. Mapping tropical forest carbon: Calibrating plot estimates to a simple LiDAR metric;Asner;Remote Sens. Environ.,2014

3. What causes deforestation in Indonesia?;Austin;Environ. Res. Lett.,2019

4. Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate;Beer;Science,2010

5. Analysis of deforestation and protected area effectiveness in Indonesia: A comparison of Bayesian spatial models;Brun;Global Environ. Change,2015

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mapping aboveground biomass in Indonesian lowland forests using GEDI and hierarchical models;Remote Sensing of Environment;2024-11

2. Overview of the Biomass Models;Green Energy and Technology;2024

3. Assessment of TanDEM-X DEM 2020 Data in Temperate and Boreal Forests and Their Application to Canopy Height Change;PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science;2023-03-01

4. Estimating Aboveground Forest Biomass Using Radar Methods;Contemporary Problems of Ecology;2022-10

5. A Novel Approach for Environmental Monitoring Based on the Integration of Multi-Temporal Multi-Source Earth Observation Data and Field Surveys in a Spatio-Temporal Framework;IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium;2022-07-17