Nowadays, a huge amount of high resolution satellite images are freely available. Such images allow researchers in environmental sciences to study the di↵erent natural habitats and farming practices in a remote way. However, satellite images content strongly depends on the season of the acquisition. Due to the periodicity of natural and agricultural dynamics throughout seasons, sequential patte...

The present work presents and evaluates a method to automatically select training samples of medium resolution satellite images within a supervised object oriented classification procedure. The method first takes a pair of images of the same area acquired in different dates and segments them in homogeneous regions on both images. Then a change detection algorithm takes stable segments as traini...

This study aims to analyze land use patterns using time-series satellite images of Seoul Metropolitan Area for the past 30 years, and present a macroscopic model for predicting future land use patterns using Markov Chain based probability model, and finally examine its applicability to Korea. Several Landsat MSS and TM images were used to acquire land-use change patterns and dynamic land-use ch...

this study aimed to evaluate the potential of image ratioing techniques to detect and map the extent and particle composition of sand dunes in the erg of gavkhouni in isfahan province. the 6/4 ratio index and also a new index called sadi which was calculated using landsat band 3, 6 and 7 were applied to a georeferenced landsat tm image. to evaluate the performance of ratio techniques, the extra...

Abstract The study introduces an automated approach for extracting water bodies from satellite images using the Faster R-CNN algorithm. was tested on two datasets consisting of body collected Sentinel-2 and Landsat-8 (OLI) images, totaling over 3500 images. results showed that proposed achieved accuracy 98.7% 96.1% datasets, respectively. This is significantly higher than by convolutional neura...

the growing population and increasing socio-economic necessitiescreates a pressure on land use/land cover. nowadays, land use change detection using remote sensing data provides quantitative and timely information for management and evaluation of natural resources. this study investigates the land use changes in part of hableh rood watershed of iran using landsat 7 and 8 (sensor etm+ and oli) i...

BACKGROUND Soil carbon and biomass depletion can be used to identify and quantify degraded soils, and by using remote sensing, there is potential to map soil conditions over large areas. Landsat 8 Operational Land Imager satellite data and airborne laser scanning data were evaluated separately and in combination for modeling soil organic carbon, above ground tree biomass and below ground tree b...

Operational monitoring of vegetation and land surface change over large areas can make good use of satellite sensors that measure radiance reflected from the Earth’s surface. Monitoring programs use multiple images for complete spatial coverage over time. Accurate retrievals of vegetation cover and vegetation change estimates can be hampered by variation, in both space and time, in the measured...

Long time series glacier ice velocity reflects the local climate changes and can be used to estimate mass balance (MB) changes, which is a critical parameter for understanding of glacier-climate interactions prediction sea level rise. However, due difficulty in image matching caused by poor-quality historical satellite images, there was insufficient data before 1999. Here, we proposed multiple-...

Vegetation index (NDVI) was extracted from bi-temporal multispectral images based on the data obtained from Landsat ETM + on 14 th , September, 2000 , Landsat ETM + on 9 th , September, 2004 , Landsat ETM + on 15 th , May, 2008 and Landsat-8 on 21 st , May 2013 for Dangshan County in Anhui Province. Analysis and data extraction was carried out using the ENVI 5.0 software. Normalized values of t...