Quantitative Classification of Desertification Severity for Degraded Aquifer Based on Remotely Sensed Drought Assessment
نویسندگان
چکیده
Natural and anthropogenic causes jointly lead to land degradation eventually desertification, which occurs in arid, semiarid, dry subhumid areas. Furthermore, extended drought periods may cause soil exposure erosion, and, finally, desertification. Several climatic, geological, hydrological, physiographic, biological, as well human factors contribute This paper presents a methodological procedure for the quantitative classification of desertification severity over watershed with degraded groundwater resources. It starts assessment using Standardized Precipitation Index (SPI), based on gridded satellite-based precipitation data (taken from CHIRPS database), then erosion potential is assessed through modeling. The levels are estimated use simulation model quality components scattered data, interpolated geostatistical tools. Finally, combination leads final mapping classification.
منابع مشابه
Simulating Remotely Sensed Imagery for Classification Evaluation
The remote sensing community has long been active in developing, evaluating, and comparing different classification algorithms using a variety of remotely sensed imagery. As an integral component of image classification, accuracy assessment is usually conducted to evaluate the agreement between the classified map and the corresponding reference data. However, current accuracy assessment practic...
متن کاملapplication of upfc based on svpwm for power quality improvement
در سالهای اخیر،اختلالات کیفیت توان مهمترین موضوع می باشد که محققان زیادی را برای پیدا کردن راه حلی برای حل آن علاقه مند ساخته است.امروزه کیفیت توان در سیستم قدرت برای مراکز صنعتی،تجاری وکاربردهای بیمارستانی مسئله مهمی می باشد.مشکل ولتاژمثل شرایط افت ولتاژواضافه جریان ناشی از اتصال کوتاه مدار یا وقوع خطا در سیستم بیشتر مورد توجه می باشد. برای مطالعه افت ولتاژ واضافه جریان،محققان زیادی کار کرده ...
15 صفحه اولA Comparative Study of SVM and RF Methods for Classification of Alteration Zones Using Remotely Sensed Data
Identification and mapping of the significant alterations are the main objectives of the exploration geochemical surveys. The field study is time-consuming and costly to produce the classified maps. Therefore, the processing of remotely sensed data, which provide timely and multi-band (multi-layer) data, can be substituted for the field study. In this study, the ASTER imagery is used for altera...
متن کاملCoastal water quality assessment based on the remotely sensed water quality index using time series of satellite images
This study was conducted with the aim of providing a remotely sensed water quality index in Assaluyeh port using remote sensing technology. so, according to the region conditions, studying of scientific resources and access to satellite data, the parameters of heavymetals, dissolved ions, SST, chlorophyll-a and pH were selected. Then, by reviewing sources, the product MYD091km, MYD021km, MOD02...
متن کاملContent Based Retrieval for Remotely Sensed Imagery
We present a framework for content based retrieval (CBR) of remotely sensed imagery. The main focus of our research is the segmentation step in CBR. A bank of gabor filters is used to extract regions of homogeneous texture. These filter responses are utilized in a multiscale clustering technique to yield the final segmentation. Novel area morphological filters are utilized for the purpose of sc...
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: Hydrology
سال: 2021
ISSN: ['2330-7609', '2330-7617']
DOI: https://doi.org/10.3390/hydrology8010047