Rainfall area identification using satellite data

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

TRMM satellite rainfall data

Spatial rainfall is a key input to Distributed Hydrological Models, which is the most important limitation for the accuracy of hydrological models. Model performance and uncertainty could increase when rain gauge is sparse. Satellite-based precipitation products would be an alternative to ground-based rainfall estimates in present and 5 the foreseeable future, however, it is necessary to evalua...

متن کامل

Rainfall Estimation Using Satellite Data for Paraíba Do Sul

This work presents a self-consistent algorithm for near real-time rainfall estimation via infrared Geostationary Operational Environmental Satellite (GOES) (each 1⁄2 hour) data based on a validation simultaneous dataset from Precipitation Radar (PR) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite, GOES and lightning data, for the basin of Paraíba do Sul river. The dataset corre...

متن کامل

estimation of evapotranspiration using satellite image data in mashhad area

abstract evapotranspiration (et) determination is a key factor for irrigation scheduling, water balance, irrigation system design and management and crop yields simulation. therefore many scientists have tried to estimate evapotranspiration in different spatial and temporal scales. remote sensing is a one of new technique in estimation of et in regional scales. so, in this study it’s tried to e...

متن کامل

Identification and investigation of the area under cultivation in Lenjanat using Landsat 8 satellite images

The cognition of cropping pattern is important for planning and resource management .Remote sensing as a science and technology of spatial information and geographic information system due to having the analytical facilities can play a key role in determining the distribution of crops and their lands under cultivation. In this research, in order to identify and separate the lands under cultivat...

متن کامل

An Efficient Storm Identification from Big Rainfall Data Using MapReduce

This paper is part of my doctoral dissertation, “Analysis and Modeling Techniques for Geo-Spatial Datasets,” which focuses on how to summarize, model, and format spatiotemporal data for analysis and mining. The dissertation consists of four main components: (1) spatio-temporal knowledge representation, (2) identifying meaningful concepts from raw data, (3) converting raw data to conceptual data...

متن کامل

ذخیره 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: Climate Research

سال: 1995

ISSN: 0936-577X,1616-1572

DOI: 10.3354/cr005259