Archive:: American Journal of Remote Sensing:: Science Publishing Group

Volume 7, Issue 2, December 2019

Combining Use of TRMM and Ground Observations of Annual Precipitations for Meteorological Drought Trends Monitoring in Morocco

Rachid Hadria, Abdelghani Boudhar, Hamza Ouatiki, Youssef Lebrini, Loubna Elmansouri, Fouad Gadouali, Hayat Lionboui Hayat Lionboui, Tarik Benabdelouahab

Issue: Volume 7, Issue 2, December 2019

Pages: 25-34

Received: 31 August 2019

Accepted: 25 September 2019

Published: 10 October 2019

DOI: 10.11648/j.ajrs.20190702.11

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Abstract: The monitoring of drought statewide is a difficult issue especially when the national network of meteorological stations is sparse or do not cover the entire country. In this paper, rainfall satellite estimates derived from Tropical Rainfall Measuring Mission (TRMM) product have been used to evaluate the ability of remote sensing data to study the ... Show More

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Using Remote Sensing Technics for Land Use Land Cover Changes Analyses from 1950s to 2000s in Somone Tropical Coastal Lagoon, Senegal

Ndéye Yacine Barry, Mamadou Lamine Ndiaye, Celestin Hauhouot, Bienvenu Sambou

Issue: Volume 7, Issue 2, December 2019

Pages: 35-49

Received: 3 September 2019

Accepted: 24 September 2019

Published: 14 October 2019

DOI: 10.11648/j.ajrs.20190702.12

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Abstract: In many developing countries, some natural areas are faced with gaps in appropriate map coverage mainly on land use and land cover (LULC) changes. This situation makes it difficult to plan and implement natural environmental protection and natural resource management programs. Remote sensing and geographic information systems (GIS) are excellent to... Show More

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The Positional Effect in Soft Classification Accuracy Assessment

Jianyu Gu, Russell G. Congalton

Issue: Volume 7, Issue 2, December 2019

Pages: 50-61

Received: 26 August 2019

Accepted: 15 October 2019

Published: 24 October 2019

DOI: 10.11648/j.ajrs.20190702.13

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Abstract: Recent research has included the rapid development of soft classification algorithms and soft classification accuracy assessment beyond the traditional hard approaches. However, less consideration has been given to whether conditions and assumptions generated for the hard classification accuracy assessment are appropriate for the soft one. Position... Show More

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