Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania-Reference-Cited by-同舟云学术

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Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania

Published:2020-12 Issue: Volume:93 Page:102138
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Næsset Erik,McRoberts Ronald E.,Pekkarinen Anssi,Saatchi Sassan,Santoro Maurizio,Trier Øivind D.,Zahabu Eliakimu,Gobakken Terje

Funder

Royal Norwegian Embassy in Tanzania

Publisher

Elsevier BV

Subject

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

Reference48 articles.

1. Overview of miombo woodlands in Tanzania;Abdallah,2007

2. National Forest Policy;Anon,1998

3. Emission Reductions Program Document (ER-PD);Anon,2016

4. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps;Baccini;Nat. Clim. Chang.,2012

5. Estimating the above-ground biomass in miombo savanna woodlands (Mozambique, East Africa) using L-band synthetic aperture radar data;Carreiras;Remote Sens.,2013

Cited by 23 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. Global biomass maps can increase the precision of (sub)national aboveground biomass estimates: A comparison across tropical countries;Science of The Total Environment;2024-10

2. Combining satellite images with national forest inventory measurements for monitoring post-disturbance forest height growth;Frontiers in Remote Sensing;2024-08-22

3. Unveiling spatial variations of high forest live biomass carbon stocks of Gabon using advanced remote sensing techniques;Environmental Research Letters;2024-06-21

4. Testing temporal transferability of remote sensing models for large area monitoring;Science of Remote Sensing;2024-06

5. Development of forest aboveground biomass estimation, its problems and future solutions: A review;Ecological Indicators;2024-02

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