Laboratory measurements were performed to study the spectral signature of H2O ice between 0.4 and 4.2 µm depending on varying temperatures 70 220 K. Spectral parameters samples with particle sizes up ~1360 µm, size mixtures, different shapes analyzed. The band depth (BD) major H2O-ice absorptions at 1.04, 1.25, 1.5, 2 offers an excellent indicator for in pure ice. changes due temperature rather...

The monitoring of herbaceous fuel moisture content is a crucial activity in order to assess savanna fire risks. Faced with the difficulty of managing wide areas of vegetated surfaces, remote sensing appears an attractive alternative for terrestrial measurements because of its advantages related to temporal resolution and spatial coverage. Earth observation (EO)-based vegetation indices (VIs) an...

background and objectives: soil organic carbon is a main soil property and particularly important for development and sustainable management of agricultural systems. soil organic matter content, which is typically measured in the form of soil organic carbon soc content, is commonly regarded as a key indicator of soil quality and utilization (liu et al., 2015). the presence of som has been prove...

Ocean color sensors, typically installed on polar-orbiting satellites, have been used to monitor oceanic processes for last three decades. However, their temporal resolution is not considered be adequate monitoring highly dynamic processes, especially when considering data gaps due cloud contamination. The Advanced Himawari Imager (AHI) onboard the Himawari-8, a geostationary satellite operated...

Leaf area index (LAI) is an important biophysical parameter and the retrieval of LAI from remote sensing data is the only feasible method for generating LAI products at regional and global scales. However, most LAI retrieval methods use satellite observations at a specific time to retrieve LAI. Because of the impacts of clouds and aerosols, the LAI products generated by these methods are spatia...

atmospheric correction of the satellite data, for example correction of visible and near-infrared spectral bands, requires removing the adjacency effect that is due to the reflection from contiguous pixels. To evaluate the accuracy of the ATCOR software atmospheric correction method of Terra/ASTER data (Jun 30, 2002) we compared the NDVI parameters taken from different sources, such as ground m...

The incorporation of remote sensing (RS) data into digital soil models has shown success to improve soil predictions. However, the effects of multi-resolution imagery on modeling of biogeochemical soil properties in aquatic ecosystems are still poorly understood. The objectives of this study were to (i) develop prediction models for various soil properties (total phosphorus, nitrogen, and carbo...

Salinization of irrigated lands in the semi-arid Jezreel Valley, Northern Israel results in soil-structure deterioration and crop damage. We formulated a generic rule for estimating salinity of different vegetation types by studying the relationship between Cl/Na and different spectral slopes in the visible–near infrared–shortwave infrared (VIS–NIR–SWIR) spectral range using both field measurem...

In this study, we comparison of NDVI of ground measurement, atmospheric corrected ASTER LIB data and ASTER surface reflectance product (AST07) data to evaluate the accuracy of the ATCOR software atmospheric correction of Terra/ASTER data (Jun 30, 2002), using ground radiometric measurement data (ASD's FieldSpec® Pro). Our research selected the study area Sarobetsu Marsh located in coastal area ...