当前位置: X-MOL 学术Egypt. J. Remote Sens. Space Sci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Remote sensing based water resources and agriculture spatial indicators system
The Egyptian Journal of Remote Sensing and Space Sciences ( IF 6.393 ) Pub Date : 2022-03-01 , DOI: 10.1016/j.ejrs.2022.02.002
Sherien Ahmed El-Sayed Zahran 1 , Rania Abdel-Hady Saeed 2 , Iman Mahmoud Elazizy 3
Affiliation  

Integrated automated application for Water Resources and Agriculture Spatial Indicators System (WRASIS) using remote sensing Data was developed to monitor and assess different developments projects in agriculture field. This system is based on the analysis of remotely sensed time series data of (Agriculture Moderate Resolution Imaging Spectra-radiometer MODIS NDVI – Rain-Fall Estimate RFE 2.0). Three agriculture projects located in Sudan; White Nile sub-basin “Assalaya Project (AAP)”, Wadi Halfa (WHAP) at Atbara Basin, and Ginude agriculture project at Blue Nile sub-basin are taken for pilot study using this newly developed system which is includes GIS-based procedures for computing water and agriculture spatial indicators. The data used is derived from satellite images product at different spatial and temporal resolution. These products were extracted automatically and stored with their analyses and results in special database, which could be used with easily manner to obtain and compute indicators and perform statistical data analyses. WRASIS has specific tools to analyze and display data in a tabular form, classify maps and display statistical charts as well. WRASIS runs in three main phases; data-base preparation, model calculation (data analysis), and finally system tools and outputs. The outputs are either basic indicators (one indicator for one-time step) or advanced indicators. Many satellite images with diverse products and resolutions could be added to the system in data preparing phase for other applications at any area. In the present study and from monitoring and assessments of the three agriculture projects, the effect of supplementary irrigation is clear.



中文翻译:

基于遥感的水资源与农业空间指标体系

开发了使用遥感数据的水资源和农业空间指标系统(WRASIS)的集成自动化应用程序,以监测和评估农业领域的不同发展项目。该系统基于(农业中分辨率成像光谱辐射计 MODIS NDVI – Rain-Fall Estimate RFE 2.0)的遥感时间序列数据的分析。位于苏丹的三个农业项目;白尼罗河次流域“Assalaya 项目 (AAP)”、Atbara 流域的 Wadi Halfa (WHAP) 和 Blue Nile 次流域的 Ginude 农业项目使用这一新开发的系统进行试点研究,该系统包括基于 GIS 的程序计算水和农业空间指标。使用的数据来自不同空间和时间分辨率的卫星图像产品。这些产品被自动提取并与它们的分析和结果一起存储在专门的数据库中,可以很容易地获取和计算指标并进行统计数据分析。WRASIS 有专门的工具来分析和以表格形式显示数据、分类地图和显示统计图表。WRASIS 分三个主要阶段运行;数据库准备、模型计算(数据分析),最后是系统工具和输出。输出要么是基本指标(一个时间步骤的指标),要么是高级指标。许多具有不同产品和分辨率的卫星图像可以在数据准备阶段添加到系统中,用于任何区域的其他应用。在本研究以及对三个农业项目的监测和评估中,

更新日期:2022-03-01
down
wechat
bug