isprs archives XLI B8 373 2016
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![Figure 1. Detail of Pohránovský pond in Landsat 8 image](https://thumb-ap.123doks.com/thumbv2/123dok/3280177.1402163/2.595.307.539.378.565/figure-detail-of-pohranovsky-pond-in-landsat-image.webp)
![Figure 2. Model in ArcGis ModelBuilder to determinate percentage of clear water pixels](https://thumb-ap.123doks.com/thumbv2/123dok/3280177.1402163/3.595.59.284.616.732/figure-model-arcgis-modelbuilder-determinate-percentage-clear-pixels.webp)
![Table 1. Real time gap according to acceptable percentage](https://thumb-ap.123doks.com/thumbv2/123dok/3280177.1402163/4.595.57.285.71.226/table-real-time-gap-according-acceptable-percentage.webp)
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We proposed a framework (Figure 2), which was based on the medium resolution HJ-1B satellite data, to derive different local climate zones parameters (including the
The Sentinel fleet will provide a so-far unique coverage with Earth observation data and therewith new opportunities for the implementation of methodologies to generate
There is no doubt that the AOD retrieval is the most important step for atmospheric correction, and becomes widely studied field. We present a method of multiple temporal
In this study, seagrass cover maps have been produced using Landsat 8 OLI image using SVM supervised classification and underwater samples in a coastal area in
KEY WORDS: Urban Expansion, Remote Sensing, Landsat Imagery, Classification, Change Detection, Driven Forces Analysis, Montréal Census Metropolitan
This study utilizes vegetation maps derived from Terra/MODIS data to generate a model of current climate conditions suitable to beech-dominated deciduous forests, which are
In the present study, we used mono-window algorithm for to determine land surface temperature from 21.10.2014 Landsat 8 TIRS band 10 data.. We chosed only TIRS band 10 data
Moreover, from the observation of radioisotopes at monitoring posts of Tokyo Electric Power Company (Tokyo Electric Power Company), a time series of March 12 to 21 with