The emerging threat for eco-sustainability has led to a breakthrough in satellite image analyses and such instantaneous monitoring of hazards could replenish the rejuvenation of natural ecosystem. Generally, the satellite images are huge dimensional data with numerous bands of specific details about the observed region. To apply immediate precautionary measures for environmental hazards and natural

An exercise is carried out to analyse the variability in the Arctic snowmelt onset dates (SMOD) using 34 years of passive microwave radiometry data. For this study, the sea ice prevailing regions above 40° N have been clustered into thirteen sectors. Trend analysis of the SMOD shows that 10 sectors have negative trends meaning earlier melt onsets. Negative trends in the East Siberian Sea, Kara Sea

Snow parameters play a very important role in hydrological cycle, local weather pattern, and climate change, eventually influencing total runoff, river flows, and water availability through the amount and timing of snow melt. In this paper, the spatiotemporal variations of snow parameters in Dibang basin, Arunachal Pradesh, India, for a period of 10 years (2006–2015) were analyzed using Spatially Distributed

The Lonar Lake of Maharashtra is a crater based-saline lake. During the month of June 2020, this lake suddenly changed its colour and turned to pink due to the presence of Haloarchaea microbes, and this species have a unique adaptation style to survive in high saline condition. The salinity of this lake is increasing due to less rainfall, low human intervention, and an increase in the temperature of

The coastal zones of northern Odisha coast, western Bay of Bengal, are highly exposed to natural forcing. These regions are vulnerable due to natural hazards such as cyclones, tsunamis, floods, shoreline/beach erosion and sea-level rise. Further, the increased intensity and density of the extreme events in the recent decades have contributed more to the coastal vulnerability, thereby causing floods

Periodical monitoring is needed for reservoirs to ensure proper management against sedimentation. The amount of sediment retained by the reservoir or the amount of volume lost is the major factor to be assessed during monitoring. This study assesses the reservoir sedimentation of the Wellington Reservoir using Satellite Remote Sensing. The analysis was carried out using eight sentinel 2 images for

Landslide is more universal calamity in mountain areas. It is a threat to life and socio-economy. The ghat section Calicut–Nilampur–Gudalur State Highway 37 (SH-37) comes under the Survey of India toposheet 58A/7. It is important road network to connect Calicut. The study area is covered in 6.5 km ghat section of 103/6 to 109/8 km stone on SH 37. This study was carried out to prepare landslide susceptibility

Determining the vulnerability of urban areas is one of the requirements that must be met before urban development to manage urban growth efficiently. This study aims to assess the vulnerability of urban areas using the data envelopment analysis method. We determined the physical growth of Yazd City in central Iran, utilizing the satellite images of 1976, 1984, 1993, 2006, and 2013. We studied the city’s

We used Airborne Visible Infrared Imaging Spectrometer-Next Generation data for mapping possible mineral alterations, which aid in mineral exploration over larger areas. The data were subjected to various advanced processing techniques like Minimum Noise Fraction, Pixel Purity Index, N-Dimensional visualization and Spectral angle mapper classification. End-member spectra were matched with those of

Accurate extraction of urban built-up areas is an essential prerequisite of urbanization research. This paper proposes a local optimal threshold method based on NPP-VIIRS nighttime light images to extract urban built-up areas in mainland China. First, according to the regional economic differences, the image is divided into eight regions. Second, the maximum variance ratio threshold method and particle

The coastal area supports millions of population in terms of livelihood, settlement and social activities across the world and India. The increasing rate of socioeconomic activities made the coasts susceptible to various hazards. Therefore, this study is aimed to examine the coastal vulnerability of Vishakhapatnam Coastal district using remote sensing and geographic information system. To fulfill this

Global changes are profoundly affecting the global terrestrial ecosystems, especially for the vegetation. Simultaneously, the affected vegetation gives feedback to the climates. The Tibetan Plateau (TP), one of the most sensitive areas to global changes, has undergone extraordinary changes on its ecosystem processes. In the multitudinous land surface ecosystem processes affecting the climate, the process

Complexity and heterogeneity of urban areas lead to difficulty in urban weather simulations and climate modeling. Diversity and size of urban areas necessitate to downscale global climate models to urban scale (~ hundreds of meters) and to enhance urban parameterization in the models to realistically simulate urban weather conditions. Hence, in this study, a methodology has been developed to generate

Fire is among the major disasters leading to biodiversity loss and climate change. Analysing high temporal resolution data over space and time can provide critical inputs for environmental management. The present study attempted to analyse fire occurrences to determine the distribution of vegetation fire hotspots in Afghanistan, Bangladesh, Bhutan, India, Nepal, Pakistan, Sri Lanka, and Myanmar. The

It has been convincingly demonstrated from all over the world that the recent earth movements have greater control over various natural disaster vulnerabilities like seismicity, landslides, floods and the accelerated vulnerabilities to flooding, storm surges, tsunami, sea level rise and erosion along the coasts. But, despite the recurrence of these disasters in the Indian Peninsula, not much of importance

Realization of agricultural crop condition through field survey is quite expensive, time consuming and sometimes not practical for remote locations. Optical remote sensing techniques can provide information on real condition of the crops by observing spectral reflectance at different crop growth phases and is less expensive and less time consuming. Hyperspectral remote sensing provides a unique opportunity

Climate change impacts on soil moisture have caused numerous environmental problems in different regions of the world, especially the arid and semiarid regions. The present study was carried out to examine the effect of climate change on soil moisture variations across a semiarid region of Iran, namely Meyghan wetland, using the multivariate regression. Mean Modified Normalized Difference Water Index

In recent years, rapid land use land cover (LULC) changes have continuously taken place in many regions all over the world as a result of human activities. In the present study, the changes in LULC were analyzed by means of multi-temporal remote sensing of Qena-Luxor Governorates in Egypt between 1984 and 2018. In order to map and monitor the land use land cover changes, several remotely sensed data

Illicit sand quarry in riverbeds will become a menace to the worldwide environment and will lead to changes in the river morphology, physical habitation and ecosystem. The excavation of sand in the riverbed is essential because it helps to maintain the river path and avoid flood inundation during the rainy season. But the excess sand removal only creates a negative impact to the surrounding environment

Accurate and timely information on yield forecasting is necessary for policymakers in decision-making. The case study was planned to develop a framework for the regional wheat yield forecasting model for southeastern Turkey. Therefore, after implementing Top of Atmospheric (TOA) correction for all images and collecting ground-truthing point of 313 fields from the Nurdagi and Islahiye counties. A total

Groundwater has become the ultimate source for domestic consumption of many urban and rural populations in the world due to unavailability of sufficient good-quality surface water. Because of high spatiotemporal variation in occurrence and distribution of this diminishing resource, understanding its nature is important for sustainable development and use. Geospatial technology has made this tedious

Virtual 3D city models are digital representation of terrain surfaces, sites, buildings, roads, waterways, etc. In general, these models are used for presenting, exploring and analyzing the urban areas. These models are also used in domains of smart city, virtual reality, infrastructure planning, telecommunication, disaster management, real estate services, education, tourism and change detection.

A number of studies have shown that urban green space (UGS) can improve the health and well-being of urban residents. However, the commonly used UGS measurement method has its obvious limitations, such as abrupt changes of measurement results in adjacent sites and complex operation process. This paper proposed a new approach to measure surrounding greenness based on moving window method, and identified

One of the important projects that the Egypt country seeks to implement is the desert areas development, which contributes significantly to agricultural and urban development. Development of desert areas, especially agricultural development, should be carried out scientifically in terms of the use of available water resources, irrigation methods according to the type of soil and taking the geo-environmental

Geographically Weighted Regression (GWR) is a common method to estimate mass concentrations of fine particulate matter (PM2.5). However, some shortage like spatial resolution of the raster input model still exists widely in the model. Therefore, based on GWR model, we adopted spatial downscaling (SD) method to solve this problem. GWR and SD were constructed by using Aerosol Optical Depth remote sensing

Currently, UAVs are being used in various industries increasingly. UAV’s navigation under the conditions in which their GPS signals are disturbed is among the main discussions regarding them. In an attempt to remove this problem, several methods have been presented, which yielded good results in restricted conditions. These methods face the restrictions such as lack of moving object in the imaging

Major driving forces can alter Land use/Land cover (LULC) dynamics and affect landscape sustainability around the Nile Delta of Egypt. The present study aims at evaluating and mapping changes in LULC and assessing the dynamics of LULC and Land Surface Temperature (LST) around the two branches of the Nile Delta, Egypt using Landsat data and GIS. Calibrated Landsat images were acquired on 2000, 2014

Road extraction from remote sensing images plays an important role in traffic management, urban planning, automatic vehicle navigation and emergency management. It is a hot issue that how to extract effectively road information from remote sensing images. Here, a new model, namely parallel softplus network (PSNet), has been proposed, which uses parallel network structure and softplus activation function

Heritage sites are vulnerable to damage due to social, anthropological and environmental factors. Major Earthquakes are followed by damage to cultural heritage buildings. The assessment of such building damage is a critical problem. Earth Observation data, owing to its property of being non-contact, cost effective, synoptic view and high repeatability, has a significant role to play in estimation of

The quality of satellite images is affected due to the scattering and absorption of sunlight by atmospheric molecules and aerosols. Aerosols are small particles suspended in the atmosphere which affects the air quality. The concentration and characteristics of the atmospheric aerosols can vary from place to place. Aerosols are major constituents for the formation of haze and thus responsible for degradation

This paper focused on urban change detection and growth pattern analysis for the period of 1978–2017 at Kolkata using remote sensing data and GIS. The supervised Maximum Likelihood Classification technique is used to classify the multi-temporal satellite data in five classes which are urban built-up, open land, vegetation, agricultural land and water body. Results revealed that urban built-up area

In Western Himalaya, an average 49 person die every year due to snow avalanche activities and this death rate is very high as compared to other Asian countries. A snow avalanche accident was observed on 5 January 2018 on Chowkibal–Tangdhar (CT) road axis at avalanche site number CT-8 located near Chowkibal village in Kupwara district, union territory Jammu and Kashmir, India. In the present paper,

Feed and fodder comprises about 65% of the cost of milk production of a dairy industry. It is a crucial input for enhancing the milk production. To address the issue of fodder availability at first, its assessment is required. Thus, we have implemented remote sensing technique for fodder crop assessment at state level to create a baseline for fodder crop availability for dairy managers to plan for

The process of channel migration becomes crucial to a populace living in or near the floodplain or to government organizations involved in planning or upholding the infrastructure within or nearby the floodplains. Spatiotemporal migration of the River Ganga in the Middle Ganga Plain for about forty years (1972–2018) was measured using Landsat images, coupled with extensive ground checks. Assessment

India’s second-generation earth observation satellite series started with the launch of IRS-1C in December 1995, twenty-five years ago. It is considered to be a “game changer” for Indian earth observation program. With a 5.8 m panchromatic (PAN) camera onboard, IRS-1C became the highest spatial resolution civilian operational satellite at the time of launch and maintained this status till the launch

Water spread area is one of the few parameters that can be easily derived using multispectral satellite data. However, due to limitation in land–water boundary pixel delineation and availability of area estimate from simultaneous images of different spatial resolutions, it poses serious challenges for accurate estimation of water spread area. The area estimated from data of different resolutions is

The accurate acquisition of farmland planting information is the basis of precision agriculture. Collecting remote sensing data via unmanned aerial vehicle (UAV) is a convenient method to obtain precision agricultural information because of the high spatiotemporal resolution and flexibility. A quadrotor UAV equipped with a SEQUOIA sensor (one multi-spectral sensor and one RGB lens) was operated over

Considering the critical role of snowfall in water resources supply and its impacts on the environment, studying and measuring snow levels changes as one of the most important sources of water supply is very important. The purpose of this study is to monitor and analyse changes in surface area and depth of snow and changes in groundwater aquifers in Iran. For this purpose, TERRA-MODIS satellite image

Sized satellite images (pyramids) are not widely used in classification due to their dissimilarity with respect to the original image. But varied size images can reduce the cost, the time and mass storage of the classification system and can give us an initial impression of the result. This research work is an investigation to study the dependency upon varied size images in classification instead of

The port of Kollam (Quilon) in Kerala had been an important trading centre for many centuries. Its significance as a landing point for traders is evident from its colonial history when there were repeated attempts to take over possession of this location. Being an important site, Kollam was frequently mapped by Europeans from the sixteenth to nineteenth centuries. The historical maps and views of Kollam

Spatial information of soil depth in regional and national level is essential for arriving crop suitability decisions. In the present study, high-resolution (250 m) soil depth map of Karnataka is prepared using digital soil mapping approach. A total of 5174 Soil legacy datasets studied by NBSS&LUP over a period of 30 years is collected and organized for mapping. Quantile regression forest (QRF) and

Himalayan musk deer (Moschus leucogaster) is considered endangered by International Union for Conservation of Nature (IUCN) and is under Schedule-I of the Indian Wildlife (Protection) Act, 1972, because of its illicit hunting for musk as well as habitat loss. The present study aims to study the summer range habitat suitability of this important Himalayan ungulate in Kedarnath Wildlife Sanctuary (KWS)

It has become crucial to categorize the complete urban planning scenario for architecturally, socially, and economically viable cities due to irresistible population progression. Urban migratory population from rural to urban has encountered towards sustainable urban planning. Being an issue of argument since earlier decades, the sustainability has always been endeavoured towards development of suitable

In spite of importance of the ice shelves as a probable sign of global climate change, temporal changes of Antarctic ice shelf margins are largely unknown. In the present article, an attempt has been made for chronological mapping of major four Antarctic ice shelf fronts for the period 2001–2016, using MODerate resolution Imaging Satellite images. Vector layers of individual ice shelves from 2001 to

The unregulated and scattered pattern of urban footprints is termed as urban sprawl. Urban sprawl being a dynamic phenomenon is facing many uncertainties with respect to methods for studying its dynamism. The present study aims at quantifying the urban sprawl process in Dehradun Urban Agglomeration (DUA), India, based on two criteria, viz. urban built-up density and open space fragmentation. On the

A large proportion of the world's population lives in coastal areas. These zones play a vital role in the socioeconomic aspects of coastal communities. The evolution of shoreline along the zones is of great importance to scientists, and engineers as well as coastal management. This research aims to assess and understand the dynamics of shoreline along the Red Sea coast between Al Lith and Ras Mahāsin

Soil resource characterization of Kumaon hills of Himalayas was carried out through soil survey and established soil–physiography relationship after identification and delineation of six physiographic units in Khulgad watershed of Almora district, Uttarakhand. The satellite image characteristics identified through the visual/digital interpretation of IRS-1D LISS-III fused with PAN data on 1:12,500

Ağrı ice cap is the biggest glacier in Turkey, but there are only a few published studies on Ağrı glacier. Many of them are focused on the spatial changes of the glacier detected by temporal data. In addition to the spatiotemporal changes of glacier, the main contribution of this study is to investigate the relation between Glacier Surface Temperature Anomalies (GSTA) and glacier retreat. The study

Understanding the impact of climatic variations on Himalayan-Karakoram glaciers has now become a necessity for planning water resources of Indus-Ganga–Brahmaputra basins. One of the most important parameters to assess this is the mass balance of glaciers. Besides ground-based studies of mass balance, differencing of Digital Elevation Models (DEMs) is now commonly employed for estimating the long-term

Aerosols play an important role in climate change and environmental pollution, and monitoring of aerosols via remote sensing is of great significance. However, for urban areas that are closely related to people's lives, remote sensing monitoring of aerosol optical depth (AOD) faces major challenges. These surface types, with bidirectional reflection characteristics, have a high surface reflectivity

Tanks are one of the main sources for the irrigation in the country. Out of average net irrigated area of 62 Mha in India during 2001–2015, 3% of area is irrigated through tanks, as against 15% in the 1950s. The deterioration of tanks was a matter of concern for most of the states in South India. Government of Telangana launched five-year long programme called 'Mission Kakatiya' in 2014 to harness

The long-term trend in satellite retrieved phytoplankton size classes (PSC) such as picophytoplankton (PP), nanophytoplankton (NP), and microphytoplankton (MP) was studied in the three zones falling under different ecological provinces in open ocean regions of the Arabian Sea. A regionally tuned three-component “abundance” model was used to compute PSC biomass from Moderate Resolution Imaging Spectroradiometer

Rooftops are essential features, extracted from satellite images for their significance in applications such as update of urban geodatabase, risk assessment and rescue map. In this work, a methodology (MBION-SVM) which integrates morphological, spectral, shape and geometrical features with SVM classifier to classify the objects within the satellite image into building rooftops and non-rooftops has

Evapotranspiration (ET) is an important hydrological variable for better irrigation management, water budgeting, and runoff estimation which should be estimated as precisely as possible both in space and time. However, most of the available crop coefficient-based ET computation methods provide point-scale estimates which need upscaling to apply at the catchment or command area scale. This study evaluates

Extreme precipitation events lead to flash floods, which can trigger soil erosion and landslides. While damages to infrastructure and livelihoods are rapidly assessed on economic terms, damages to natural resources are not estimated due to limited observation record. This study conducted an analysis using remote sensing data to estimate changes in soil erosion rates before, during and after the Kerala

Accelerated KAZE (AKAZE) is a multi-scale 2D feature detection and description algorithm in nonlinear scale spaces proposed recently. This paper presents an image stitching algorithm which uses a feature detection and description algorithm; AKAZE and an image blending algorithm; weighted average blending. The whole process is divided into the following steps: First of all, detect feature points in

In view of the significant intensity difference between remote sensing image pairs, weak robustness, and insufficient key point correspondence, the novel remote sensing image registration method is proposed. Firstly, a nonlinear scale space is established by means of the anisotropic diffusion equation and fast explicit diffusion. Then, an improved gradient calculation method is used to calculate the

The estimation of the PM2.5 concentration based on satellite remote sensing is currently a hot topic for research, with machine learning algorithms starting to be applied to the estimation model. However, there are few comparisons between different machine learning algorithms, and few scholars objectively evaluate the estimation performance of machine learning algorithms under different weather conditions

This particular examination was led on the Abrajit reservoir in the North Gojjam sub-basin, Blue Nile basin, Ethiopia. The overall target of the examination was to explore the supply siltation and assurance of the current stockpiling limit of the repository utilizing ArcGIS 10.5 variant and Golden surfer 16 most recent rendition. A bathymetric study utilizing reverberation sounding gear (Garmin GPSMAP421s)

Urban environment imposes challenges due to its dynamics and thermodynamic characteristics of the built environment. The present study aims to study the effect of lockdown during COVID-19 on the spatio-temporal land surface temperature (LST) patterns in Dehradun city. The TIRS sensor data of 14 April 2020 (post-lockdown), 28 April 2019, 25 April 2018 and 08 May 2017 were downloaded, and LST was retrieved