搜索结果: 1-12 共查到“遥感信息工程 MODIS Data”相关记录12条 . 查询时间(0.125 秒)
DUST STORM DETECTION BASED ON MODIS DATA
Dust Storm MODIS Satellite Remote Sensing (RS) Band Math Information Extraction Terra and Aqua
2016/3/17
Dust storm is a kind of meteorological disaster which usually takes place in the northern china in spring. It becomes a very important environmental issue and one of the major natural hazards. Its eno...
RETRIEVING LST AND ITS THERMAL ENVIRONMENT EVALUATION ANALYSIS BASED ON CBERS-02 IRMSS AND MODIS DATA
CBERS-02 IRMSS Land Surface Temperature (LST) Atmospheric Water Vapour Content Human Body Comfort Index Thermal Environment Evaluation
2016/3/17
The thermal environment and thermal effect is one of the most important contents in city climate and environment researches.Retrieving and analyzing land surface temperature (LST) is an efficient way ...
A SIMPLE METHOD FOR INFORMATION EXTRACTION OF FARM FIELD IN TARIM RIVER BASIN USING MODIS DATA
Tarim River Basin MODIS Vegetation Index Time Series Farm Field
2015/12/31
High spatial resolution remote sensing data are expensive and hard to cover the whole basin at the same time in Tarim river basin, while, the low spatial resolution data, such as MODIS, which spatial ...
A DUST-STORM PROCESS DYNAMIC MONITORING WITH MULTI-TEMPORAL MODIS DATA
Dust Storm Dynamic Monitoring Multi-Temporal Data Terra/Aqua MODIS
2015/12/31
In recent years, the frequency of dust storm is rising. Dust storm can impact the climate changes and cause great damages to people. It is very necessary to monitor the disasters accurately. In this p...
APPLICATION OF FUZZY REASONING TO ASSESSMENT OF CROP STRESS LEVEL BASED ON MODIS DATA:A FOCUS ON HEAVY METAL POLLUTION
Crop Pollution Hyper Spectral Fuzzy Logic Dynamic Algorithms
2015/12/31
This paper reviews the application of fuzzy theory and its combination with artificial neural-network technology for remote sensing information extraction. A dynamic fuzzy neural-network model is pres...
PERCENT TREE COVER MAPPING FROM ENVISAT MERIS AND MODIS DATA
Forestry Percentage vegetation cover Mapping Metrics Prediction Algorithms
2015/12/28
The aim of this study was to compare percent tree cover products of Envisat MERIS and MODIS data of Seyhan River Basin at the Eastern Mediterranean Region of Turkey. In this study, Regression Tree (RT...
CHARACTERIZING THE SPATIAL DISTRIBUTION OF GIANT PANDAS IN CHINA USING MULTITEMPORAL MODIS DATA AND LANDSCAPE METRICS
Multitemporal Forest Landscape Spatial Configuration Modelling Knowledge Base
2015/12/28
Although forest fragmentation and degradation have been recognized as one of major threats to wild panda population, little is known about the relationship between panda distribution and forest fragme...
MODIS DATA PROCESSING FOR COASTAL AND MARINE ENVIRONMENT MONITORING:A STUDY ON ANOMALY DETECTION AND EVOLUTION IN GULF OF CAGLIARI (SARDINIA-ITALY)
MODIS Oil Spill Monitoring Multispectral
2015/12/28
In this paper, the authors demonstrate that MODIS sensor multispectral imagery may be used in marine and coastal environment monitoring and for anomaly detection and that MODIS imagery may represent a...
LAND COVER CHANGE ANALYSIS IN MEXICO USING 30M LANDSAT AND 250M MODIS DATA
Land cover time series Change detection
2015/5/6
Change detection is one of the most important and widely requested applications of terrestrial remote sensing. Despite a wealth of techniques and successful studies, there is still a need for resear...
ANALYSIS OF SEASONAL AND ANNUAL CHANGE OF VEGETATION IN THE INDIAN THAR DESERT USING MODIS DATA
Arid western India Biomass Jaisalmer NDVI 16-day composite MODIS products (MOD13Q1)
2014/5/6
The western part of India, specifically the dry region, will play an important role in determining the Indian monsoon and even global climate patterns. Drastically change in land use pattern of the re...
Validation of Sea Ice Drift Vector Extraction From AMSR-E and SSM/I Data by Using MODIS Data
passive microwave radiometer Aqua template matching motion tracking
2010/11/23
Sea ice drift vectors extracted from satellite passive microwave sensors data are widely used today. However, the validation of which has not been done much so far. In this study, the sea ice drift ve...
Improvement of the AMSR-E Algorithm for Soil Moisture Estimation by Introducing a Fractional Vegetation Coverage Dataset Derived from MODIS Data
AMSR-E soil moisture fractional vegetation coverage MODIS
2010/11/24
Soil moisture is an important component of the hydrology of land surfaces. Accurate monitoring of soil moisture is essential in understanding energy and water cycles and ecological system processes. M...