Mapping rice field anopheline breeding habitats in Mali, West Africa, using Landsat ETM+ sensor data
نویسندگان
چکیده
منابع مشابه
Mapping rice field anopheline breeding habitats in Mali, West Africa, using Landsat ETM+ sensor data.
The aim of this study was to determine whether remotely sensed data could be used to identify rice-related malaria vector breeding habitats in an irrigated rice growing area near Niono, Mali. Early stages of rice growth show peak larval production, but Landsat sensor data are often obstructed by clouds during the early part of the cropping cycle (rainy season). In this study, we examined whethe...
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All four chimpanzee sub-species populations are declining due to multiple factors including human-caused habitat loss. Effective conservation efforts are therefore needed to ensure their long-term survival. Habitat suitability models serve as useful tools for conservation planning by depicting relative environmental suitability in geographic space over time. Previous studies mapping chimpanzee ...
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abstract mine excavation, concentration and transportation of minerals make southern esfahan municipality and suburb of sepahanshahr vulnerable to pollution and endanger their people by heavy metals. nowadays, spectrophotometers and spectral reflectance of soils in different parts of spectrum are applied for estimating soil characteristics and pollutants. this research was conducted to study th...
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Information about an area and its distribution of planted and harvested paddy rice field is essential for food security management, water resource management, and for the estimation of gas emissions. Rice field has specific coverage characteristics throughout its life time. Its coverage is mixed proportionally in accordance with its age, between water, soil, and rice vegetation. Landsat ETM+ ha...
متن کاملEvaluation of the Wetland Mapping Methods using Landsat ETM + and SRTM Data
Overarching goal of this paper was to evaluate automated and semi-automated methods of mapping wetlands using Landsat ETM+ and SRTM data. Automated methods consisted of: (a) slope derived from SRTM, (b) Tasseled cap Wetness Index (TCWI), (c) Normalized Difference Water Index (NDWI), (d) multi-band vegetation indices (MBVIs), (e) two band vegetation indices (TBVIs), (f) normalized difference veg...
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ژورنال
عنوان ژورنال: International Journal of Remote Sensing
سال: 2004
ISSN: 0143-1161,1366-5901
DOI: 10.1080/01431160310001598944