Assessing the potential of multi-seasonal WorldView-2 imagery for mapping West African agroforestry tree species-Reference-Cited by-同舟云学术

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Assessing the potential of multi-seasonal WorldView-2 imagery for mapping West African agroforestry tree species

Published:2016-08 Issue: Volume:50 Page:80-88
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:

Karlson Martin,Ostwald Madelene,Reese Heather,Bazié Hugues Roméo,Tankoano Boalidioa

Funder

Swedish Research Council

Swedish International Development Cooperation Agency (Sida)

Swedish Energy Agency

Publisher

Elsevier BV

Subject

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

Reference57 articles.

1. Employing ground and satellite-based QuickBird data and random forest to discriminate five tree species in a Southern African woodland;Adelabu;Geocarto Int.,2015

2. Trees, Shrubs and Lianas of West African Dry Zones;Arbonnier,2004

3. The effect of trees on preferential flow and soil infiltrability in an agroforestry parkland in semiarid Burkina Faso;Bargués Tobella;Water Resour. Res.,2014

4. Parklands for buffering climate risk and sustaining agricultural production in the Sahel of West Africa;Bayala;Curr. Opin. Environ. Sustainability,2014

5. Advances in knowledge of processes in soil–tree–crop interactions in parkland systems in the West African Sahel: a review;Bayala;Agric. Ecosyst. Environ.,2015

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1. A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning-Based Methods;Forests;2024-05-13

2. Exploring the landscape scale influences of tree cover on crop yield in an agroforestry parkland using satellite data and spatial statistics;Journal of Arid Environments;2023-11

3. Three-Dimensional Mapping of Habitats Using Remote-Sensing Data and Machine-Learning Algorithms;Remote Sensing;2023-08-23

4. Tree species identification in ex situ conservation areas using WorldView-2 Satellite Data and Machine Learning Methods: a case study in the Bogor Botanic Garden;Tropical Ecology;2023-06-19

5. Tree Species Classification in UAV Remote Sensing Images Based on Super-Resolution Reconstruction and Deep Learning;Remote Sensing;2023-06-05

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