Crop type information is essential for many practical applications, yet its mapping often constrained by inherent characteristics of most farming areas, such as fragmentation and small farm plots, changes in crop morphology across the season, cloud cover. This study investigated whether these limitations could be overcome using time-series Synthetic Aperture Radar (SAR) phenological combined with different Dynamic Time Warping implementation strategies. Focusing on a fragmented landscape...

Crop type mapping is relevant to a wide range of food security applications. Supervised classification methods commonly generate these data from satellite image time-series. Yet, their successful implementation hindered by the lack training samples. Solutions like transfer learning, development temporal-spectral signatures target classes, re-utilization existing inventories, or crowdsourcing initiatives are applied samples for thematically coarser classifications. These rarely used...

The sensitivity of synthetic aperture radar (SAR) and interferometric SAR (InSAR) to surface properties, especially changes in height roughness, combined with an all-weather capability, makes remote sensing a potential tool for mapping urban damage caused by earthquakes. With InSAR, displacement has been mapped successfully detail, but urban-damage mapping, results have so far less conclusive. ENVISAT Advanced images Bam, Iran, that were acquired before after the 2003 earthquake used....

This study presents an unsupervised fuzzy c-means classification (FCM) to observe the shoreline positions. We combined crisp and methods for change detection. addressed two perspectives of uncertainty: (1) uncertainty that is inherent positions as observed from remote sensing images due its continuous variation over time; (2) results propagating object extraction implementation detection method. Unsupervised FCM achieved highest kappa (κ) value when threshold (t) was set at 0.5. The κ values...

Monitoring shoreline is important for planning and development in the coastal region. This study utilizes remote sensing GIS (Geographic Information System) techniques to observe dynamics of region Sayung, Indonesia, from 1988 up 2017. Multi-temporal images Thematic Mapper (TM), Advance Spaceborne Thermal Emission Reflection Radiometer (ASTER) Operational Land Imager Infrared Sensor (OLI/TIRS) were used fuzzy classification followed by thresholding generate shorelines. Post change detection...

100 t/ha), remains a challenging task for the researchers worldwide. The retrieval of AGB over tropical forest area in India using Envisat advanced synthetic aperture radar C-band backscatter, interferometric (InSAR) coherence and semi-empirical models viz., water cloud model (WCM) (IWCM), is studied. In process, parameters, i.e., backscatter from vegetation ground, two-way tree transmissivity, ground were retrieved. training procedure to retrieve parameters consisted an iterative regression...

Vegetable production is important because of the food security, diet improvement and socio-economic value. Mapping location extent vegetable fields therefore in agricultural policy, security farmer support. Dynamic Time Warping (DTW) a common way to map crops from time series satellite images. However, as all hard classifications, it does not show spatial distribution uncertainty classification. In fuzzy classification, where memberships multiple classes are assigned each pixel, differences...

Meteosat satellites with the Spinning Enhanced Visible and Infrared Imagery (SEVIRI) sensor onboard provide remote-sensing images nowadays every 15 min. This paper investigates applies image-mining methods to make an optimal use of images. It develops a simple, time-efficient, generic model facilitate pattern discovery analysis. The focus this is develop for monitoring analyzing forest fires in space time. As illustration, diurnal cycle fire Portugal on July 28, 2004 was analyzed. Kernel...

Mapping of shorelines and monitoring their changes is challenging due to the large variation in shoreline position related seasonal tidal patterns. This study focused on a flood-prone area north Java. We show possibility using fuzzy-crisp objects derive positions as transition zone between classes water non-water. Fuzzy c-means classification (FCM) was used estimate membership pixels these classes. A represents shoreline, its spatial extent estimated objects. In change vector analysis (CVA)...

Earth Observation has become a progressively important source of information for land use and cover services over the past decades. At same time, an increasing number reconnaissance satellites have been set in orbit with ever spatial, temporal, spectral, radiometric resolutions. The available bulk data, fostered by open access policies adopted several agencies, is setting new landscape remote sensing which timeliness efficiency are aspects data processing. This study presents fully automated...

Scanning synthetic aperture radar (ScanSAR) systems provide continuous information over large areas, but for effective use of such products in tropical forest, the decrease backscatter with variation incidence angles requires attention. This letter analyzes dependence on angle L-band ScanSAR images forest. We investigated and modeled angular effect per land-cover class three Colombian Orinoco. found that there is an evident backscatter, depending class, moisture content, physical structure...