Abstract Landslide, one of the most critical natural hazards, is caused due to specific compositional slope movement. In past decades, inflation urbanized area and climate change, a compelling expansion in landslide prevalence took place which also termed as mass/slope movement mass wasting, causing extensive collapse around world. The principal reason for its pursuance reduction internal resistance soil rocks, classified slide, topple, fall, flow. Slopes can be differentiated based on earth...

This article presents a novel method of landslide detection by exploiting the Mask R-CNN capability identifying an object layout using pixel-based segmentation, along with transfer learning used to train proposed model. A data set 160 elements is created containing and nonlandslide images. The consists three steps: augmenting training image samples increase volume data; fine-tuning limited samples; performance evaluation algorithm in terms precision, recall, F1 measure, on considered images,...

Artificial intelligence (AI) has achieved a remarkable place in solving complex problems almost all disciplines. Based on the recent notable performances of machine learning and deep techniques for rapid automatic landslide identifcation, it is observed that availability quality training data, proper model associated cost are crucial developing such frameworks. Therefore, primary objective study to propose novel empirical algorithm, DvD, identification using Sentinel-2 imagery comparatively...

Landslide susceptibility maps (LSMs) are generally prepared by integrating multiple prominent thematic layers, including DEM derived products (elevation, slope, and aspect), other parameters such as lithology, geomorphology, LULC, etc. These can be assigned optimum weights using the analytic hierarchy process (AHP) method, followed a GIS-based weighted overlay analysis. In recent years, multi-temporal interferometric synthetic aperture radar (MT-InSAR) techniques have been rigorously...

Abstract A quantitative approach was pursued for identifying the most appropriate three-band combination of Landsat Thematic Mapper (TM) reflective bands data delineating salt-affected soils Indo-Gangetic alluvial plain. The standard deviation and correlation coefficients values TM were used computing a statistical parameter called 'Optimum Index Factor' (OIF) that is indicative information (variance) content data. Amongst all 20 combinations considered, band 1, 3 5 found to be best in terms...

Abstract For mapping and monitoring the spatial distribution of salt-alTected soils using remote sensing data, a thorough understanding their spectral behaviour is paramount importance. The few typical salt-affected Indo-Gangetic alluvial plain was studied by taking ground-based measurements with Exotech radiometer (model 100 BX) made thematic mapper (TM) onboard Landsat-5. Salt-alTected soils, in general, showed relatively higher response visible near-infrared regions spectrum as compared...

Land cover and human or natural alterations of land play a major role in global‐scale patterns climate biogeochemistry the Earth's systems. Land‐use land‐cover changes have di...

Apart from soil erosion by wind and water, the major land degradation processes operating in irrigated commands arid semi-arid regions are waterlogging subsequent salinization/alkalinization. Remote sensing data have been used successfully studies of spatial extent, magnitude temporal behaviour lands affected such processes. In this work we interpreted Landsat Multispectral Scanner images acquired during 1975 Thematic Mapper 1993, conjunction with ancillary information adequate ground data,...

The reflectance spectrum of species in a hyperspectral data can be modelled as an n-dimensional vector. A spectral angle mapper (SAM) computes the between vectors that is used to discriminate species. Spectral information divergence (SID) models probability distribution so variability bands extracted using stochastic measures. hybrid approach SAM and SID found better discriminator than or on their own. correlation (SCA) computed cosine Pearsonian coefficient vectors. SCA measure it considers...

One of the problems associated with synthetic aperture radar (SAR) data analysis is presence random noise or speckle SAR data, being achromatic in nature, which offers very limited scope for detection and delineation various terrain features. ERS-1 coastal region West Bengal, India were processed (a) to suppress using filters, (b) generate intensity, hue saturation (IHS) transform from temporal (c) study synergism optical sensor data. The results indicate that Gamma MSP filter a 5 pixel...

Waterlogging and subsequent salinization and/or alkalization are the major land degradation processes in irrigated agricultural lands of arid semiarid regions. The use spaceborne multispectral data has been shown to have potential for deriving information on nature, extent, spatial distribution magnitude various degraded lands. Indian Remote Sensing Satellite (IRS-1B) Linear Imaging Self-scanning Sensor (LISS-I) Landsat Thematic Mapper (TM) form standard false colour composite (FCC) prints...

Abstract The standard false colour composite (FCC) print made from bands 2, 3 and 4 of Landsat-TM data at 1:50 000 scale covering part the Indo-Gangetic plain was interpreted visually following a systematic visual interpretation approach. Based on image elements their correlation with ground features, two categories, namely moderately strongly sodic soils, could be delineated. On FCC soils appear as bright white patches fine texture, while are manifested dull to strong brown. delineation...

Abstract Manifestation of texture in high spatial resolution optical satellite data has an inherent potential to provide land cover information. A study been conducted explore this utility with IRS-1D panchromatic (PAN) through its grey values and the derived textural typical test site a wide range textures was subjected analysis by Grey Level Co-occurrence Matrix (GLCM) approach. Entropy at Inter Pixel Distance (IPD) 1 Correlation IPD 9 were found be optimised features. The independently...

Wetlands play an important role in bio-geochemical cycling, flood control and recharging of aquifers. They serve as a major source net sink carbon potential site for aquaculture the breeding waterfowls. The wetlands Sundarban its adjoining areas support variety flora fauna they are currently being used fish culture. Precise information their nature, extent spatial distribution is pre-requisite optimal utilization. Being coastal region, cloud-free optical remote sensing data area not very...

Being highly dynamic by nature due to their changing hydrological regime and the encroachment of urbanization, inductrialization patterns in agriculture, reliable timely information about extent, nature, spatial distribution temporal behaviour wetlands is a prerequisite for effective management. Optical remote sensing data have been used extensively generate such information. In this study European Remote Sensing (ERS-1) Synthetic Aperture Radar (SAR) collected during April 1993 were coastal...

Waterlogging and subsequent salinization and/alkalinization is the major land degradation problem in irrigated commands arid semi-arid regions. The Linear Imaging Self-scanning Sensor (LISS-III) digital data acquired by Indian Remote Sensing Satellite (IRS-1C) over part of Indo-gangetic plains are digitally analysed for delineating salt-affected waterlogged areas on a IBM RS-6000 system. A comparison with IRS-1B LISS-II data, comparable spectral bands very close to LISS-III reveals...

Timely and reliable information on soils with respect to their nature, extent, spatial distribution, potential limitations/hazards, namely soil erosion by water wind, salinity and/ or alkalinity, wetness, compaction, etc., is very crucial for optimal utilization of available natural resources a sustained basis. Soil surveys, which hitherto have been conducted through conventional approach, provide such information. By providing synoptic coverage the earth's surface at regular intervals...

Abstract Principal components analysis (PCA), ratioing, image differencing and intensity-hue-saturation (IHS) transformation have been widely used in monitoring various natural resources environmental hazards. In our study, the temporal behaviour of salt-affected soils Indo-Gangetic alluvial plains Uttar Pradesh has studied using Landsat MSS data for 1975 1992. Apart from routine digital classification Guassian maximum likelihood algorithm, PCA, differencing, ratioing were also evaluated...

Abstract Landsat MSS digital data over parts of Uttar Pradesh (Northern India) covering an area 60243 km2 were analysed on interactive multispectral analysis system (MDAS) to delineate salt-affected soils. Based the spectral response these soils and subsequent correlation in field by studying terrain characteristics soil profiles, two categories that require different management practices, namely, Typic Natrustalfs, association Natraqualfs Aquic could be delineated. Both are saline-sodic...

A robust geodetic framework comprising Terrestrial Laser Scanner (TLS), Global Navigation Satellite Systems (GNSS), Robotic Total Station (RTS) and Multi-temporal InSAR (MT-InSAR) was employed first in India to investigate a landslide-prone Sirobagarh region, Uttarakhand, at different spatial extents, evaluate the relationship amongst displacement estimates obtained from applied surveying techniques. TLS derived digital elevation models indicated displacements >5 m on landslide upper scarp....

This research compares two time-series interferometric synthetic aperture radar (InSAR) methods, namely persistent scatterer SAR interferometry (PS-InSAR) and small baseline subset (SBAS) to retrieve the deformation signal from pixels with different scattering characteristics. These approaches are used estimate surface in L'Aquila region Central Italy where an earthquake of magnitude Mw 6.3 occurred on 6 April 2009. Fourteen Environmental Satellite (ENVISAT) C-band Advanced Synthetic...

Abstract In order to prevent soil loss and protect fertile lands from erosion, precise information on the nature, extent magnitude of erosion is a prerequisite. study reported here, Landsat MSS, TM Indian Remote Sensing Satellite (IRS-1A) Linear Imaging Self-scanning Sensor (LISS-II) data have been visually interpreted derive qualitative both eroded shifting cultivation areas. Three categories lands, namely (i) nil slight, (ii) moderate, (iii) severe very were delineated. Opticalcum-digital...