Using Annual Landsat Time Series for the Detection of Dry Forest Degradation Processes in South-Central Angola-Reference-Cited by-同舟云学术

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Using Annual Landsat Time Series for the Detection of Dry Forest Degradation Processes in South-Central Angola

Published:2017-08-31 Issue:9 Volume:9 Page:905
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Schneibel Anne,Frantz David,Röder Achim,Stellmes Marion^ORCID,Fischer Kim,Hill Joachim

Funder

Federal Ministry of Education and Research

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/9/9/905/pdf

Reference65 articles.

1. The miombo woodlands of central, Eastern and Southern Africa;Tuite;Ir. For.,1990

2. Biodiversity Scenarios: Projections of 21st Century Change in Biodiversity, and Associated Ecosystem Services;Leadley,2010

3. Distribution and characteristics of african dry forests and woodlands;Timberlake,2010

4. Rural households and miombo woodlands: Use, value and management;Clarke,1996

5. Miombo Woodlands—Opportunities and Barriers to Sustainable Forest Management;Campbell,2007

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1. Resilience, remoteness and war shape the land cover dynamics in one of the world's largest miombo woodlands;Trees, Forests and People;2024-09

2. Dynamics of land-cover change and characterization of charcoal production and trade in southwestern Angola;Remote Sensing Applications: Society and Environment;2024-04

3. Extensive woody encroachment altering Angolan miombo woodlands despite cropland expansion and frequent fires;Global Change Biology;2024-02

4. Time Series Analysis of Landsat Images for Monitoring Flooded Areas in the Inner Niger Delta, Mali;Artificial Satellites;2023-12-01

5. Landsat time series reveal forest loss and woody encroachment in the Ngorongoro Conservation Area, Tanzania;Remote Sensing in Ecology and Conservation;2022-06-15

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