This research aims to develop a tsunami vulnerability assessment model on land use and cover using information NDVI, NDWI, MDWI, MSAVI, NDBI extracted from sentinel 2 A ASTER satellite images. The optimization algorithms LASSO linear regression. validation test is MSE, ME, RMSE MAE which show that the regression has higher accuracy than LASSO. NDWI interpolation values are 0.00 - (-0.35) MNDWI ...

Mosquito-borne diseases affect millions of people worldwide. In the United States, since 1999, West Nile Virus (WNV) has infected 36,801 people and has caused the deaths of 1,580. In California, since 2002, nearly 3,600 people have been infected with WNV with an additional 124 fatalities. Analyses of remotelyand spatially-based data have proven to facilitate the study of mosquito-borne diseases...

Crop yield models using different VIs (vegetation index) from remote sensing data show the various precision, but each of them can provide useful information related with yield. So it is very significant how to integrate the useful information of these models. In this study, a few of typical VIs, such as NDVI (Normalized Difference Vegetation Index), SR (Simple Ratio index), TCARI/OSAVI (Trans-...

Over the recent past, there has been a growing concern on the need for mapping cropping practices in order to improve decision-making in the agricultural sector. We developed an original method for mapping cropping practices: crop type and harvest mode, in a sugarcane landscape of western Kenya using remote sensing data. At local scale, a temporal series of 15-m resolution Landsat 8 images was ...

The water resources of Tibetan plateau, particularly the lakes, has been influenced by global climate change and also reacted to global change. It is important to study the lake changes in the Tibetan plateau. This paper aimed to analyse the changes detected from remote sensing images for the typical lakes in Tibetan Plateau, including Qinghai Lake, Nam Co and Selin Co, using different informat...

The present study examines the seasonal relationship between land surface temperature (LST) and normalized difference water index (NDWI) on various surfaces in Raipur City of India by using a series Landsat images for four specific seasons since 1991-92. LST is retrieved mono-window algorithm technique. results show that area noticeably affected composition. best correlation (correlation coeffi...

Inhalable particulate matter (PM10) is a primary air pollutant closely related to public health, and an especially serious problem in urban areas. The urban heat island (UHI) effect has made the urban PM10 pollution situation more complex and severe. In this study, we established a health risk assessment system utilizing an epidemiological method taking the thermal environment effects into cons...

Remote sensing is recognized as a valuable tool for flood mapping due to its synoptic view and continuous coverage of the flooding event. This paper proposed a hybrid approach based on multiple endmember spectral analysis (MESMA) and Random Forest classifier to extract inundated areas in Yuyao City in China using medium resolution optical imagery. MESMA was adopted to tackle the mixing pixel pr...