The production of land cover maps using supervised classification algorithms is one the most common applications remote sensing. In this study, effectiveness in ASTER data was evaluated Mankweng Area and its environs. false colour composite image generated from combination band 1, 2 3 red, green blue, respectively, used to generate training classes for six types (waterbody, forest, vegetation, ...

Data from the Hyperspectral Mapper (HyMap), which is acquired with a field of view (FOV) of 61.3 degrees, is disturbed by the bidirectional behavior of the covered surface and its complex geometry. The resulting phenomena, an across-track brightness gradient and spectral differences caused by shifted objects, were described and analyzed in detail. An appropriate correction method for the object...

Soil salinity / alkalinity development is one of the major land degradation problem affecting sustainable agricultural productivity in irrigated areas of arid and semi arid regions of the world. The characterization and mapping of salt affected soils is difficult as the salt concentration may vary substantially over short distances. Various broadband multi-spectral satellite data and spectral i...

In this paper a new classification technique for hyperspectral data based on synergetics theory is presented. Synergetics – originally introduced by the physicist H. Haken – is an interdisciplinary theory to find general rules for pattern formation through selforganization and has been successfully applied in fields ranging from biology to ecology, chemistry, cosmology, and thermodynamics up to...

With climate change, extreme storms are expected to occur more frequently. These storms can cause severe forest damage, provoking direct and indirect economic losses for forestry. To minimize economic losses, the windthrow areas need to be detected fast to prevent subsequent biotic damage, for example, related to beetle infestations. Remote sensing is an efficient tool with high potential to co...

Satellite images provide consistent and frequent information that can be used to estimate mineral resources over a large spatial extent. Advances in spaceborne hyperspectral remote sensing (HRS) machine learning help support various remote-sensing-based applications, including exploration. Leveraging these advances, the present study evaluates recently launched PRISMA satellite map hydrothermal...

Pocket beaches (PBs) are among the most attractive tourist sites and economic development contributors in coastal areas; however, they negatively impacted by combined effects of climate change anthropogenic activities. Generally, research on PBs is conducted from beach towards offshore. Studies land use/land cover (LULC) limited currently lacking. Such studies deserve more investigation due to ...

Accurate information on the spatial distribution of weeds is key to effective site-specific weed management and efficient sustainable use control measures. This work focuses early detection johnsongrass, common cocklebur velvetleaf present in a corn field using high resolution airborne hyperspectral imagery acquired when plants were four six leaf growth stage. Following appropriate radiometric ...

Deforestation is a major factor reducing natural habitats, leading to tropical ecosystems and biodiversity loss worldwide. The Lacandona region in southern Mexico holds one of the largest fragments rainforest North America. We evaluated deforestation harmonizing concepts methodologies. An international (FAO definition), governmental (national regional definition with applications at different s...