Land use/cover change and landscape fragmentation analysis in the Bindura District, Zimbabwe-Reference-Cited by-同舟云学术

Land use/cover change and landscape fragmentation analysis in the Bindura District, Zimbabwe

Published:2007 Issue:2 Volume:18 Page:221-233
ISSN:1085-3278
Container-title:Land Degradation & Development
language:en
Short-container-title:Land Degrad. Dev.

Author:

Kamusoko C.,Aniya M.

Publisher

Wiley

Subject

Soil Science,General Environmental Science,Development,Environmental Chemistry

Reference44 articles.

1. , , , . 2002. A review and assessment of land-use change models: Dynamics of space, time and human choice. USDA (Forest Services), Technical Report NE-297.

2. Remote sensing applications in African agriculture and natural resources: Highlighting and managing the stress of increasing population pressure

3. , , . 1976. A land use/cover classification system for use with remote sensor data. In US Geological Survey Professional paper 964: Sioux Falls, SD.

4. A comparison of classification algorithms in terms of speed and accuracy after the application of a post-classification modal filter

5. Estimating Error in an Analysis of Forest Fragmentation Change Using North American Landscape Characterization (NALC) Data

Cited by 95 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. Quality indexes of land ownership and land cover as indicators of small lake catchment degradation;Ecological Indicators;2024-09

2. Trace metal speciation trends in Mazowe dam, Zimbabwe, a typical sub-tropical dam ecosystem impacted by gold mining and agriculture;Environmental Geochemistry and Health;2024-07-29

3. Evaluating the Landscape Dynamics Due to Shifts in Industry Patterns in Kota City, Rajasthan, India;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Rural transformation and its links to farmland use transition: Theoretical insights and empirical evidence from Jiangsu, China;Habitat International;2024-07

5. Measuring Urban and Landscape Change Due to Sea Level Rise: Case Studies in Southeastern USA;Remote Sensing;2024-06-11