Air pollution poses a grave health risk and is a matter of concern for researchers around the globe. Toxic pollutants like nitrogen dioxide (NO2) is a result of industrial and transport sector emissions and need to be analysed at the current scenario. After the world realised the effect of COVID-19 pandemic, countries around the globe proposed complete lockdown to contain the spread. The present research

Poverty is a complex social problem, and accurate poverty identification is a key step for creating strategies to eliminate poverty. The Luojia 1-01 satellite is part of a new generation of professional nighttime light remote sensing that was successfully launched on July 2, 2018, and has provided 130-m high-resolution nighttime light images for poverty studies. This study aimed to detect the accuracy

The performance evaluation of surface irrigation projects has been hitherto done at regional or project level due to the non-availability of a detailed spatial database of irrigation projects. Recent advancements in the capabilities of remote sensing techniques and Geographical Information System (GIS) have opened avenues of field level mapping and database creation for irrigation projects. In view

Pansharpening refers to the fusion of remotely sensed multispectral and panchromatic images which are characterized by different levels of spectral–spatial resolutions and acquired for the same location by optical remote sensing satellite sensors. In this paper, we propose a pansharpening algorithm based on morphological extended-half-gradient. Popular quality metrics employing two assessment methods

Floods are one of the most common natural disasters. In recent times, microwave synthetic aperture radar (SAR) satellite images have been used widely for mapping flood affected areas due to its all-weather capability and acquisition during day and night. Here, in this paper, an automated algorithm is proposed to delineate flood extent from SAR images without any human intervention. The algorithm consists

Global warming threatens the hydrological cycle, resulting in parched dry season and inferable from its serious impact on profitability of downpour sustained crops. Drought is considered to be one of the most complex natural hazards, affecting large community of people. The effect of drought can be minimized when the decision makers are equipped with suitable data regarding the spatiotemporal information

Cities and towns have been expanding everywhere around the globe. Rural areas are converting rapidly into towns and towns into cities, which increases urban expansion. Population pressure and industrialization are the key factors behind such a phenomenal change in spatial structure. Fringe or the suburbs areas are pressurized more by population as compared to the inner pocket of the metropolitan cities

Estimation of accurate forest variable is crucial for forest monitoring and quantifying forest aboveground biomass (AGB). The objective of this study was to estimate forest variables and AGB using the TLS data acquired over the tropical rainforest of Malaysia. Individual trees were detected using the manual detection method in the RiSCAN PRO software. An average tree detection rate of 99.55% was achieved from the

This study looks into the development of multi-level classification approach for land use change mapping in Indian cities using Landsat imageries. In this study, we mapped 47 Indian cities at different time frames 1990, 2000, 2010, and 2017. We started with traditional classification methods, but results provided unsatisfactory accuracy levels. Thus, we employed multiple classification techniques to

Geospatial data play a key role in the preparation of mine plan, lease boundary fixing and volume calculation of minerals in the mine. The conventional practice proposed by Indian Bureau of Mine is using differential global positioning system (DGPS), CartoSAT/LISS IV satellite imagery and cadastral maps to provide lease boundary fixing, digital elevation model of mine and rectified cadastral map. Most

This study assessed and mapped the aboveground tree carbon stock using very high-resolution satellite imagery (VHRS)—WorldView-2 in Barkot forest of Uttarakhand, India. The image was pan-sharpened to get the spectrally and spatially good-quality image. High-pass filter technique of pan-sharpening was found to be the best in this study. Object-based image analysis (OBIA) was carried out for image segmentation

Automatic detection of suburban building areas (SBAs) is one of the research hotspots for remote sensing images (RSIs), which are widely used in the dynamic monitoring of land use, illegal building monitoring, anti-terrorism, etc. However, because the buildings are distributed targets and their appearances are quite different, the current mainstream detection methods have difficulty obtaining good

The correct title of the article should read as “Autom.

Due to remote sensing-derived time-series geospatial data sets of built-up area, settlement typologies are becoming increasingly available in public domain. The present study aims to study the urban growth dynamics in Himalayan state of Uttarakhand, India, for the last four decades, using open and freely available Global Human Settlement Layer data sets. The growth dynamics was analysed based on factors

The dynamicity of the coastal landforms necessitates monitoring from space-borne or aerial remote sensing platforms. Precise elevation information is an important requirement to delineate the subtle topographic variations along and across the coastal axes, indicative of coastal geomorphology at large scale. The study was carried out for a coastal stretch of 25 km, located between Visakhapatnam and

The Lineament analysis is an important factor to assess its control on landslide occurrences and also to analyze the general tectonics of the terrain. Lineament may signify the vulnerable weak planes where slope material strength is being reduced and causing slope failures. The present work is carried along the parts of NH-154A, Chamba–Bharmour road, Chamba, Himachal Pradesh to establish the association

Unfortunately, Fig. 1 was published incorrectly in the original article. Hereby, the correct figure is given below.

Automatic training data extraction approaches are new solutions for supervised classification. Most of the researches are aimed to develop automatic methods since conventional methods are time- and cost-consuming. Also, in conventional methods the results are impacted by the expertise of operators. On the other hand, factors such as size, number, distribution and homogeneity of training samples affect

The accurate estimation of atmospheric motion vectors (AMVs) derived using sequences of images from geostationary satellites is very important because of their extensive use in improving initial conditions of the numerical weather prediction (NWP) models. To assess the quality of retrieved AMVs, validation of these winds with ground-based observation is very important. In the present study, the evaluation

Conceptualisation of geo-hydrological characteristic of a drainage basin quantitative measurement of morphometric parameters has been required. Assessment and understanding the hydrological characteristics of Nagar River Basin morphometric analysis has been carried out. Remote sensing and ArcGIS techniques have been used for measuring and calculating the morphometric characteristics of the Nagar River

In this paper, we attempted to review the soil erosion studies conducted throughout the globe using Revised Universal Soil Loss Equation (RUSLE). We searched the SCI, Scopus, Web of Science, Google Scholar database and various theses for this study. Though RUSLE is the most widely used model for estimation of soil erosion, the factors, namely rainfall erosivity, soil erodibility, slope length and steepness

Remote sensing-based crop mapping using multispectral temporal images is a reliable source of crop status information. Reflectance in red-edge region can be incorporated in vegetation indices for better results as it heavily depends upon chlorophyll content in the leaves. This research work studies the effect of three Sentinel-2 red-edge bands on fuzzy classification of sunflower crop in Shahabad,

Installation of solar power plant units in wasteland areas is not only helpful for land resource management but also expected to create some job opportunities for the local population, infrastructure development, water resource conservation and energy revenue generation. In the present study, the suitable region for installation of the solar PV power plant is identified through the AHP method in combination

Wetland inventories especially on their spatial extent are a prerequisite for management and conservation of any wetland. The advancement in geospatial techniques has offered a wide range of methodological applications to prepare the inventories and to understand the dynamics of wetlands. The freely available Landsat imagery has been widely used in extracting spatial and temporal information about

This study aims to detect land-use and land-cover changes in Baramulla district of Kashmir valley using geospatial technology. This district is affected by large-scale changes in agriculture, horticulture, built-up and dense forest. Satellite data of 1979, 2001 and 2018 are used to generate land-use and land-cover classification using on-screen digitization. This classification includes agriculture

Forest canopy cover represents different characteristics of forest stands. However, especially in semiarid forest, the estimation of canopy cover by field measurements is too expensive. Therefore, it is necessary to develop appropriate techniques to estimate forest canopy cover for forest management in semiarid areas. In this research, a robust procedure to estimate canopy cover using stratification

A study on spatiotemporal variability of soil organic carbon content (SOC) over India is carried out based on a remote sensing data-driven terrestrial ecosystem model and the regional databases. The model is initialized with the equilibrated solutions corresponding to undisturbed balanced biosphere condition and then marched forward with realistic forcing for the recent decades. Both the model solution

Soil salinization is one of the serious environmental problems in arid and semiarid regions. As an effective technique for monitoring soil salinity, remote sensing (RS) technology has been widely used to estimate soil salinity in recent years. Previous studies on soil salinity mapping based on RS images adopted linear regression (LR) between the field measured of electrical conductivity (EC) and the

Curly-leaf pondweed (Potamogeton crispus L.) is a perennial, submerged plant native to Eurasia, Africa, and Australia that tolerates fresh or slightly brackish water. The pondweed has been found widely in many lakes in northern China. The Dongping Lake is a typical shallow macrophytic lake in north China, and it is an important junction at the East Route Project of China’s South-to-North Water Diversion

This paper aims to assess the applicability of morphometric parameters (linear and areal) for watershed management. In the present study Siddheswari river (length of main stream 84.36 km, basin area 873.88 km2), a right-bank non-perennial tributary of Mayurakshi river has been used. The main objectives of the present study include assessment of morphometric parameters and prioritization of sub-watersheds

As a basis for the quantitative application of satellite remote sensing, surface reflectance can be retrieved through atmospheric correction methods. Currently, most studies have focused on developing or comparing atmospheric correction methods. However, few studies have quantitatively analyzed the effects of input parameters in an atmospheric correction method on retrieved surface reflectance. In

In the Northern Ethiopia, Lake Tana has serious problems related to the alien water hyacinth invasive weed. The weed species grows in and swims over water and expands very quickly. The purpose of this study is to detect the spatiotemporal trend of the weed during 2013, 2015 and 2017. Landsat 8 satellite images captured in December were used to assess the rate of expansion of the water hyacinth. Training

The annual episodes of high-biomass algal bloom are a known phenomenon in the northern Arabian Sea. In the present study, we demonstrate growth and decay of bloom using long-term satellite-retrieved parameters such as chlorophyll-a (chl-a), sea surface temperature (SST), phytoplankton absorption (aph), detritus–coloured dissolved organic matter absorption (adg) and model-derived mixed layer depth (MLD)

Historical photographs acquired early 1900s provide valuable baseline data for earth surface change analysis. However, orthorectifying such data faces great challenges due to relatively low radiometric quality, the difficulty in finding control points due to surface changes, and the lack of camera calibration information. This study developed a method to standardize the scanned photographs into a common

This study proposed a new vegetation index ADVI to detect the pollution degree of different varieties of maize under copper stress, which provides a new idea for the detection of heavy metal pollution in vegetation. In order to ensure the outdoor growth environment of maize, we put all maize into outdoor greenhouse. The spectral reflectance interval of 450–850 nm of maize leaves was processed by the

A landslide is the movement of rock, debris or earth down along the slope under the gravity. It may cause to loss of people’s life and their private and public properties. Landslide is a common hazard in steep slope areas, especially during the rainy season. A study of landslide helps urban planners, engineers and local communities to reduce losses caused by existing and future landslides by means

The classification of hyperspectral data by means of per pixel classifiers forces each mixed pixel to map onto a single class, whereas sub-pixel classifiers are incapable of spatial arrangement of the land cover classes at its sub-pixel level. Super resolution mapping technique takes advantage of fractional abundance of each pixel and its surrounding pixels to make the classified image much finer spatial

The sub-tropical countries like India experience large-scale land degradation due to erosion of the surface soil. So, there is a direct impact of monsoon climate in this region; large-scale water-induced erosion has gradually increased due to an extreme precipitation event. There is an unbalanced situation that happens between regolith formation and rate of surface soil erosion. The amount of agricultural

This study aims to demonstrate the utility of Markov chain analysis and geospatial technology to assess point-based fragmentation. It has been observed that unprecedented urbanization is primarily responsible for abrupt changes in the land system of cities. Such abrupt changes may lead to fragmentation of urban landscape and its neighbourhood areas. Generally, fragmentation begins with point locations

This research is based to review the efficacy of Landsat thematic mapper (TM) on different band combinations for mapping of different geological formations ranging in age from Pre-Cambrian to most recent rocks. These band combinations include 742, 247, 564, 456, 567 and 765. Out of these, the most suitable false color composite combination is assessed for differentiation of lithology. To differentiate