Mapping crop cover using multi-temporal Landsat 8 OLI imagery
نویسندگان
چکیده
منابع مشابه
Support Vector Machine Classification of Object-based Data for Crop Mapping, Using Multi-temporal Landsat Imagery
Crop mapping and time series analysis of agronomic cycles are critical for monitoring land use and land management practices, and analysing the issues of agro-environmental impacts and climate change. Multi-temporal Landsat data can be used to analyse decadal changes in cropping patterns at field level, owing to its medium spatial resolution and historical availability. This study attempts to d...
متن کاملAutomated Subpixel Surface Water Mapping from Heterogeneous Urban Environments Using Landsat 8 OLI Imagery
Water bodies are a fundamental element of urban ecosystems, and water mapping is critical for urban and landscape planning and management. Remote sensing has increasingly been used for water mapping in rural areas; however, when applied to urban areas, this spatiallyexplicit approach is a challenging task due to the fact that the water bodies are often of a small size and spectral confusion is ...
متن کاملTarget Detection Method for Water Mapping Using Landsat 8 OLI/TIRS Imagery
Extracting surface water distribution with satellite imagery has been an important subject in remote sensing. Spectral indices of water only use information from a limited number of bands, thus they may have poor performance from pixels contaminated by ice/snow, clouds, etc. The detection algorithms using information from all spectral bands, such as constrained energy minimization (CEM), could ...
متن کاملAutomated Crop Type Mapping from Landsat Imagery
Knowledge of the spatial distribution of crop types is important for many environmental and human health research studies. These studies may require crop type maps over large geographical regions for multiple years, which can be derived only from satellite images. Interpretation of Landsat images using traditional image classification techniques is not feasible for such applications because of ...
متن کاملEvaluation of Matched Filter method for wind erosion mapping Landsat 8 OLI Imagery, (Central and North West province of Khuzestan)
Successful target detection, especially if there is a similarity between the target and the background area, always is a noticeable issue in remote sensing studies. Because of the spectral behavior similarity to the other phenomena and spatial distribution of these units, the mapping of wind erosion units is difficult. Thus, this study attempts to detect the favorable areas by using matched fil...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Remote Sensing
سال: 2017
ISSN: 0143-1161,1366-5901
DOI: 10.1080/01431161.2017.1323286