There are pressing concerns about the interplay between agricultural productivity, water demand, and water availability in semi-arid to arid regions of the world. Currently, irrigated agriculture is the dominant water user in these regions and is estimated to consume approximately 80% of the world’s diverted freshwater resources. We develop an improved irrigated land-use mapping algorithm that ...

تناولت الدراسة عملية الكشف عن جفاف التربة في ناحية يثرب باستخدام نظم المعلومات الجغرافية ووسائل الاستشعار بعد للمدة (1990 – 2020) من خلال متابعة مؤشر رطوبة (NDMI) ومؤشر الغطاء النباتي (NDVI) للعام 1990 وتحديد مساحات كل مؤشر، ومن ثم التغير الحاصل على المؤشرين لنفس المنطقة 2020. وإنتاج خرائط رقمية لكل وحسب السنوات المختارة. وتوصلت إلى أن الأراضي ذات الرطوبة القليل (الترب الجافة) شغلت مساحة (143.2...

There are pressing concerns about the interplay between agricultural productivity, water demand, and water availability in semi-arid to arid regions of the world. Currently, irrigated agriculture is the dominant water user in these regions and is estimated to consume approximately 80% of the world’s diverted freshwater resources. We develop an improved irrigated land-use mapping algorithm that ...

The objective of this study is to develop a novel methodology integrating remote sensing, geographic information system technology and local spatial autocorrelation geo-computation for quick drought assessment. One group of drought indices, based on the condition of the vegetation, includes the Normalized Difference Vegetation Index (NDVI), Anomaly of Normalized Difference Vegetation Index (NDV...

Accurate and up-to-date mapping and monitoring of rubber plantations is challenging. In this study, we presented a simple method for rapidly and accurately mapping rubber plantations in the Xishuangbanna region of southwest China using phenology-based vegetation index differencing. Temporal profiles of the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Atmospher...

Knowledge of spatial and temporal variations in crop growth is important for crop management and stable crop production for the food security of a country. A combination of crop growth models and remote sensing data is a useful method for monitoring crop growth status and estimating crop yield. The objective of this study was to use spectral-based biomass values generated from spectral indices ...

Optical remote sensing indices play an important role in vegetation information extraction and have been widely serving ecology, agriculture forestry, urban monitoring, other communities. Remote are constructed from individual bands depending on special characteristics to enhance the typical spectral features for identification or distinction of surface land covers. With development quantitativ...

Abstract Nowadays, the importance of using macrophytes in accumulation heavy metals has gained great concerns. So, this study aimed at extracting land use/cover types three indices and surface temperatures habitats inside 100 m buffers from recent satellite images around highly economic namely; Phragmites australis, Typha domingensis Potamogeton pectinatus species. In addition to temperature (L...