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As a method to analyze the soil moisture, the NDVI-Ts space has aroused much attention. The paper uses the method of TVDI which calculated from the NDVI-Ts space to monitor the soil moisture status of Shendong mining area which is located in arid and semiarid area in Northwest China from 6 September to 8 November. The soil moisture status come from TVDI was consistent to the physiognomy types distribution...
Using five kinds of satellite-derived sea surface temperature (SST) from infrared radiometers (AVHRR, MODIS/Aqua, MODIS/Terra) and microwave radiometers (TMI, AMSR), a set of high-quality, cloud-free, high-resolution (1/20°) merged SST product was generated through an optimum interpolation scheme. The area of merged SST product (OISST) [0–42°N, 95–150°E] covers the whole China Sea as well as the western...
It was very difficult to acquire satisfy classification result only using spectral information and textual information on the broad land of China. This paper divided the land cover regions based on multivariate data to improve classification accuracy which were Pa, BT, DEM, AVHRR NDVI time-series data and IM. Through principal components analysis, the information percent of first three principal components...
Estimation of gross primary production (GPP) from remote sensing data is an important approach to study regional or global carbon cycle. In this study, a satellite-driven model, vegetation photosynthesis model (VPM) was introduced to estimate gross primary production (GPP) of the semi-arid grassland ecosystem for the growing season (2006) in North China. Meanwhile, observed GPP derived from eddy covariance...
Polynyas are persistent openings and/or thin ice in the ice cover. They play an important role in the air-sea interaction. Their accurate detection, including an estimate of shape and area, is therefore important. There is a polynya at the front of the Amery Ice Shelf (AIS). In this paper, a threshold of 70% of AMSR-E sea ice concentrations is selected to define a polynya and to calculate the area...
In this paper, Satellite measurements from Synthetic Aperture Radar (SAR) and the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua platform are introduced, which is used to analyze the radial sand ridge field of the South Yellow Sea. Both of the measurements can detect the location, extension and coverage of the ocean sand ridges. The tidal-current/sand-ridge interaction driven...
Over the past 20 years, many algorithms for mapping snow have been developed to map snow in the binary sense and in the fractional sense from optical multi-spectral imagers and imaging spectrometers. These algorithms include band thresholds, band ratios, normalized band differences, empirical relationships with normalized band differences, relative spectral mixture analysis, and multiple endmember...
Spatial and Temporal Fusion of Remote Sensing Data is a technology that can generate dense time series high spatial data whose spatial resolution is similar with high spatial resolution date, and temporal resolution is same with high temporal resolution data. Using Hai'an County of Jiangsu Province as the experimental area, we tested the ability of different wavelet functions and fusion methods in...
The Chinese Loess Plateau has experienced drastic human-induced land cover change in the last century. The Chinese government has planned a long-term project to restore the ecology and thus the environment. This effort requires the information of the ecological potential. This study presented a complete procedure for spatially modeling the potential vegetation index in arid Loess Plateau region. Spatially...
Normalized Difference Vegetation Index (NDVI) has been widely used in evaluating the status and changes of ecological environment. This paper aims to introduce a method of extracting NDVI from image gained by HJ-1A/B CCD boarding on HJ-1A/B satellite. Cloud detection and atmospheric correction are carried out before the NDVI calculated. Results show that the NDVI can well describe the vegetation distribution.
As climate continues to change, the empirical methods of managing water, which are based on historical relationships between point measurements and runoff, are likely to become less accurate. Hence the utility of distributed snowmelt models based on a judicious integration of remotely sensed and surface measurements will consequently increase. However, as the analysis in this paper shows, translation...
The method of visible albedo threshold was applied to retrieve a case of sea fog occurred over the Bohai Sea and the northern of Yellow Sea and adjoin areas at 21th Feb 2007 in the daytime with MTSAT-1R satellite visible channel data, and characteristic quantity of sea fog such as the optical thickness, liquid water path, effective radius, height of fog top and visibility were computed. Comparisons...
Facing to the more and more serious eutrophication and frequent outbreak of blue-green algae event in inland lake, the early warning of them has become urgent affairs. To monitor them in large scale rapidly and improve the extraction accuracy by remote sensing technology, MODIS data is a kind of ideal data source for its free getting, high spectrum resolution and temporal resolution. In this paper,...
We extracted the chlorophyll α concentration (Chl) and sea surface temperature (SST) data in 2002–2010 from MODIS/Aqua to examine the interannual variability of Chl in autumn monsoon transitional period in the Taiwan Strait (TWS). The results showed that the whole TWS had the lowest chl concentration in autumn 2010 and the highest in autumn 2004. The nutrient-rich Zhejiang and Fujiang coastal waters...
In this study, the land surface temperature (LST) from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor which was chosen as one scalar temperature directly modifying light use efficiency (LUE), together with the 8-day composited MODIS data and the site measurements of photosynthetically active radiation (PAR) of a subtropical evergreen coniferous forest ecosystem in southern China during...
Vegetation classification is the basis for various hydrological and ecological studies. Some vegetation classifications using NDVI data have been studied commonly, however, there are some limitations in classification of vegetation using the average NDVI value, especially, the study with spectrum characteristics of the NDVI is relatively rare. Based on this, this paper introduces a new vegetation...
Oil spills in the ocean are one of the major environmental concerns. Some sensors, such as MODIS, and AVHRR, have been used to detect oil spills which often appear differently from the surrounding waters on the images. However, any single sensor can not offer the required temporal acquisition rate of the same area, to guarantee the possibility to monitor the large oil spill dynamically. In this study,...
MODIS data is the important data resource of acquiring sea ice parameters of Yellow and Bohai sea. In this paper, the spectral characteristic of Yellow and Bohai sea water is analyzed firstly, then an ice acquisition and thickness retrieval method are developed based on the analyzing result, finally the ice retrieval result during the winter time of the year from 2006 to 2007 is compared with the...
Smoke is emitted from biomass burning every year. It affects regional air quality and long-term climate and is an important factor for fire detection of remote Sensing. An improved smoke plume detection method based on Kmeans clustering and multi-spectral threshold analysis is described in this paper. The threshold method has been developed with moderate-resolution imaging spectroradiometer (MODIS)...
In order to reveals the Spatial Distribution Characteristics of actual evapotranspiration and driving factors. Based on MODIS data and meteorological data, the daily actual evapotranspiration of February and September 2001 is simulated by SEBAL remote sensing model in Dongjiang River. The space distribution rule of actual evapotranspiration is analyzed. The results show that actual evapotranspiration...
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