The paper describes research of a trained threshold algorithm for analysis of the fire situation using multispectral remote sensing data. The algorithm is based on application of sub-satellite information about the fire on the territory covered by a satellite image. Thresholds are selected for each of the spectral bands for the determination of known fire threshold and then are used to select a...

We explore a synergistic approach to use the complementary angular samplings from the Multi-angle Imaging SpectroRadiometer (MISR) and Moderate Resolution Imaging Spectroradiometer (MODIS) to improve MODIS surface bidirectional reflectance distribution function (BRDF) and albedo retrieval. Preliminary case studies show that MODIS and MISR surface bidirectional reflectance factors (BRFs) are gen...

Land cover characterization at a regional scale using spaceborne multi-angle remote sensing data is in its infancy. A data mining technique was employed to evaluate the degree to which the accuracy of land cover classification can be increased using multi-spectral, multi-temporal and multi-angle remote sensing data. The study area is around the Jornada Rangeland in New Mexico, USA with shrublan...

1 This paper presents a new burned area product for the tropical 2 forests in South America and South-east Asia. The product is derived 3 from Moderate Resolution Imaging Spectroradiometer (MODIS) mul4 tispectral surface reflectance data and Active Fire hotspots using a 5 novel rare class detection framework that builds data-adaptive clas6 sification models for different spatial regions and lan...

[1] With the launch of the MODIS sensor on the Terra spacecraft, new data sets of the global distribution and properties of aerosol are being retrieved, and need to be validated and analyzed. A system has been put in place to generate spatial statistics (mean, standard deviation, direction and rate of spatial variation, and spatial correlation coefficient) of the MODIS aerosol parameters over m...

The satellite-derived growing season time-integrated Normalized Difference Vegetation Index (GSN) has been used as a proxy for vegetation biomass productivity. The 250-m GSN data estimated from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors have been used for terrestrial ecosystem modeling and monitoring. High temporal resolution with a wide range of wavelengths make the MODI...

Fractional vegetation cover (FVC) is one of the most critical parameters in monitoring vegetation status. Comprehensive assessment of the FVC products is critical for their improvement and use in land surface models. This study investigates the performances of two major long time serial FVC products: GEOV1 and Australian MODIS. The spatial and temporal consistencies of these products were compa...

We present a new approach to retrieve Aerosol Optical Depth (AOD) from Moderate 15 Resolution Imaging Spectroradiometer (MODIS) over the turbid coastal water. This approach 16 supplements the operational Dark Target (DT) aerosol retrieval algorithm that currently don’t 17 conduct any AOD retrieval in the regions with large water-leaving radiances in the visible spectrum. 18 Over the global coas...

The methodology used to store a number of the Moderate Resolution Imaging Spectroradiometer (MODIS) land products is described. The approach has several scientific and data processing advantages over conventional approaches used to store remotely sensed data sets and may be applied to any remote-sensing data set in which the observations are geolocated to subpixel accuracy. The methodology will...

Water use efficiency (WUE) is a useful indicator to illustrate the interaction of carbon and water cycles in terrestrial ecosystems. MODIS gross primary production (GPP) and evapotranspiration (ET) products have been used to analyze the spatial and temporal patterns of WUE and their relationships with environmental factors at regional and global scales. Although MODIS GPP and ET products have b...