Integration of remote sensing and conventional models for modeling grazing/browsing capacity in southern African savannas-Reference-Cited by-同舟云学术

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Integration of remote sensing and conventional models for modeling grazing/browsing capacity in southern African savannas

Published:2015-06-08 Issue:1 Volume:9 Page:096041
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Adjorlolo Clement¹,Botha Jacobus Oosthuizen²

Affiliation:

1. South African National Space Agency (SANSA), SANSA Earth Observation, Pretoria 0087, P.O. Box 484, Silverton 0127, South Africa

2. Natural Resources Section, KwaZulu-Natal Department of Agriculture and Environmental Affairs, Private Bag X9059, Pietermaritzburg 3200, South Africa

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 3 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. Prediction of species richness and diversity in sub‐alpine grasslands using satellite remote sensing and random forest machine‐learning algorithm;Applied Vegetation Science;2024-04

2. Land Cover and Landscape Structural Changes Using Extreme Gradient Boosting Random Forest and Fragmentation Analysis;Remote Sensing;2023-11-27

3. Comparative Analysis of Single Bands, Vegetation Indices, and Their Combination in Predicting Grass Species Nitrogen in a Protected Mountainous Area;Applied Sciences;2023-07-07

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