The modelling of habitat suitability for parasites is a growing area of research due to its association with climate change and ensuing shifts in the distribution of infectious diseases. Such models depend on remote sensing data and require accurate, high-resolution temperature measurements. The temperature is critical for accurate estimation of development rates and potential habitat ranges fo...

Clouds usually cause invalid observations for sensors aboard satellites, which corrupts the spatio-temporal continuity of land surface parameters retrieved from remote sensing data (e.g., MODerate Resolution Imaging Spectroradiometer (MODIS) data) and prevents the fusing of multi-source remote sensing data in the field of quantitative remote sensing. Based on the requirements of spatio-temporal...

For remote sensing image analysis, it is necessary to use spatial information surrounding pixels, in addition to spectral information of them. Several works have been done in this field. On the other hand, autonomous agents, a newly explored area of research in image processing, can operate directly in the two-dimensional lattice of a digital image and provide an attractive abstraction to encap...

We present a simple probabilistic model for dust aerosol detection, analysing MODIS 11.3μm and 12.02μm thermal emissive bands. We introduce a dust aerosol probabilistic visualization, and a feasible extension to classification. c ⃝ 2010 Optical Society of America OCIS codes: (280.1100) Aerosol detection; (100.2960) Image analysis

In this paper, an approach based on Binary Division Algorithm, to detect the Hotspots using Multi-resolution fusion of band 1, band 2, band 31 and band 32 of Moderate Resolution Imaging Spectroradiometer (MODIS), NASA Satellite, for the Jharia (India) Region with the aid of image analysis and change detection technique has been proposed.

This paper presents a new automatic algorithm to derive optical snow grain size (SGS) at 1 km resolution using Moderate Resolution Imaging Spectroradiometer (MODIS) measurements. Differently from previous approaches, snow grains are not assumed to be spherical but a fractal approach is used to account for their irregular shape. The retrieval is conceptually based on an analytical asymptotic rad...

This paper investigates the contribution of Enhanced Vegetation Index (EVI) data to the improvement of object-based image analysis using multi-spectral Moderate Resolution Imaging Spectral-radiometer (MODIS) imagery. Object-based image analysis classifies objects instead of single pixels. The idea to classify objects stems from the fact that most often the important information to process an im...

Forest fires could cause significant damages in environment, human society and economy. These possibilities lead forest fires to a worldwide issue. Furthermore, damages from forest fires give rise to secondary damage such as floods. Thus, a rapid analysis on forest fire should take effect. However, it is considerably dangerous to access to forest fire area and almost impossible to get the field...

For near real-time water applications, the Moderate Resolution Imaging Spectroradiometers (MODIS) on Terra and Aqua are currently the only satellite instruments that can provide well-calibrated top-of-atmosphere (TOA) radiance data over the global aquatic environments. However, TOA radiance data in the MODIS ocean bands over turbid atmosphere in east China often saturate, leaving only four land...

Remote sensing plays a significant role in the estimation of methane and monitoring wetlands flooding duration and extent [1]. Methane is the second largest contributor to the present day greenhouse gas effect [3]. However there are considerable uncertainties in the magnitude of this biogenic emission [2]. For instance, the amount of methane emissions from the Okavango Delta is not known, which...