The incorporation of remote sensing (RS) data into digital soil models has shown success to improve soil predictions. However, the effects of multi-resolution imagery on modeling of biogeochemical soil properties in aquatic ecosystems are still poorly understood. The objectives of this study were to (i) develop prediction models for various soil properties (total phosphorus, nitrogen, and carbo...

* Corresponding author and present address: Bangladesh Space Research and Remote Sensing Organization (SPARRSO), Agargaon, Sher-E-Bangla Nagar, Dhaka-1207, Bangladesh Abstract – Recent global climate change is the consequence of many human activities; deforestation in the tropics is one of them. The research estimated the amount of carbon flux due to forest cover change by combining satellite i...

Sustainable management of coastal mangrove systems requires up-to-date data on land use and land cover information. The objective of this study was to use Landsat Thematic Mapper (TM) and the Enhanced Thematic Mapper Plus (ETM+) remote sensing information to provide such management data and corresponding analysis. This study showed that the degradation of Ghana’s mangroves was due primarily to ...

Support vector machines represent a promising development in machine learning research that is not widely used within the remote sensing community. This paper reports the results of Multispectral(Landsat-7 ETM+) and Hyperspectral DAIS)data in which multi-class SVMs are compared with maximum likelihood and artificial neural network methods in terms of classification accuracy. Our results show th...

Multispectral image reconstruction allows to combine a multispectral low resolution image with a panchromatic high resolution one to obtain a new multispectral image with the spectral properties of the lower resolution image and the level of detail of the higher resolution one. In this paper we formulate the problem of multispectral image reconstruction based on super-resolution techniques and ...

This paper investigates the potential use of Landsat ETM+, remotely sensed height data (RSHD), ward-level population and dwelling units to provide population estimates at parcel-level. The paper applies a conventional method of population estimation and then refines this using the RSHD. Further refinements are applied using an advanced image classification algorithm. The model is calibrated at ...

In this study, multitemporal subpixel analysis was used to identify cypress canopies from Landsat 7 ETM+ imagery. One spring and one fall image were selected for each of two sites, an eastern one centered on Tallahassee, FL and a western one centered on Panama City, FL. Signatures derived from the two eastern images were applied on the two western images that served as the control images for ac...

This study was primarily aimed at verifying the potentiality of medium spatial resolution Thermal Infrared (TIR) data in monitoring environmental aspects strictly correlated to SST (Sea Surface Temperature), such as industrial cooling water discharges and the increase in seawater temperature over time, at two coastal sites in the Apulia region (Italy).TIR data acquired by LANDSAT ETM+ and ASTER...