The impact of 1973–2005 land use–land cover (LULC) changes on near-surface air temperatures during four recent summer extreme heat events (EHEs) are investigated for the arid Phoenix, Arizona, metropolitan area using the Weather Research and Forecasting Model (WRF) in conjunction with the Noah Urban Canopy Model. WRF simulations were carried out for each EHE using LULC for the years 1973, 1985,...

Cropping systems information on explicit scales is an important but rarely available variable in many crops modeling routines and of utmost importance for understanding pests and disease propagation mechanisms in agro-ecological landscapes. In this study, high spatial and temporal resolution RapidEye bio-temporal data were utilized within a novel 2-step hierarchical random forest (RF) classific...

The objective of this paper is to examine the scaling-up effect on the relationship between landscape patterns and land surface temperatures based on a case study of Indianapolis, United States. The integration of remote sensing, GIS, and landscape ecology methods was used in this study. Four TERRA ASTER images were acquired to derive the land-use and land-cover (LULC) patterns and land surface...

Over the past four decades Delhi, India, has witnessed rapid urbanization and change in land use land cover (LULC) pattern, with most of the cultivable areas and wasteland being converted into built-up areas. Presently around 40% land is under built-up area, a drastic rise of 30% from 1977. The effect of changing LULC, at a local scale, on various variables-land surface temperature (LST), norma...

We explored relationships of water quality parameters with landscape pattern metrics (LPMs), land use-land cover (LULC) proportions, and the advanced very high resolution radiometer (AVHRR) normalized difference vegetation index (NDVI) or NDVI-derived metrics. Stream sites (271) in Nebraska, Kansas, and Missouri were sampled for water quality parameters, the index of biotic integrity, and a hab...

In this study we explored the potential of multi-temporal IRS P6 (Resourcesat) Advanced Wide Field Sensor (AWiFS) data for mapping of LULC for Delhi, India. The study presents the result of a decision tree classification of seasonal composite data (three seasons). The study has identified 13 classes with description of cropping pattern namely, double crops, kharif, rabi and zaid from 56 m spati...

1 Land use land cover (LULC) patterns are significantly effecting the urban/rural spaces in the encompassing areas. Murree being tourist resort is always under pressure of tourists from all over the country. The population increase in peak season of tourism in summer season and extreme winter, causes a tremendous growth and expansion of urban area of Murree. So a relic of blue pine forest and C...

GIS methodologies in combination with Remote Sensing data and techniques are fundamental to analyse and characterise Land Use/Land Cover (LULC) and their evolutionary dynamics. The case study here described, has been conducted in two study-areas: the Serre Regional natural Park and the socalled Conca of Avellino (Southern Italy). This study is part of a wider research allowed to understand how ...

Land use and land cover (LULC) maps are remote sensing products that are used to classify areas into different landscapes. Data fusion for remote sensing is becoming an important tool to improve classical approaches. In addition, soft computing techniques such as machine learning or evolutive computation are often applied to improve the final LULC classification. In this paper, a method based o...

Saint Louis Bay Watershed is a coastal watershed located in southern Mississippi, which composes two basins: Jordan River Basin and Wolf River Basin. Two land use/land cover (LULC) datasets: the Geographic Information Retrieval and Analysis System (GIRAS) and the National Land Cover Data (NLCD) are applied on these two basins to simulate the hydrologic and water quality parameters by using the ...