Aromatic plants cultivation, processing and marketing is an upcoming agro-industry. The yields from these plants are generally governed by its good management practices of timely, suitable and precise actions against damaging factors. Remote sensing in agriculture is not a new phenomenon anymore, but using unmanned aerial vehicle (UAV, commonly known as drones) for the same is a pertinent topic these

Spatial decision system provides a framework for integrating database management systems, analytical models, and graphics to improve the decision-making process from a farm-scale to a regional level. In this study, a graphical user interface for irrigation management has been developed with the support of a geographical information system (GIS) customization using Visual Basic for Application (VBA)

The present study intends to understand the variability in land surface temperature and urban heat island over Ahmedabad city, Gujarat, from 2003 to 2018 using MODIS thermal data. The spatio-temporal variability of land surface temperature dynamics is understood by pixel to pixel linear regression analysis along with Mann–Kendall and Sen's slope estimator tests. A Gaussian fitting technique is employed

With increasing availability of satellite data of high temporal resolution, a more robust classifier is needed which can exploit the temporal information along with the spectral information of the remote sensing images. Specific fuzzy-based and learning-based algorithms are two broad categories and have the potential to perform well in spectral–temporal domain. In the present study, for mapping paddy

Understanding and modeling land use and land cover changes are critically important subjects for the purposes of environmental management, planning, and civil engineering. Models are considered as good approaches for having better estimation or understanding of the phenomenon of land use, land cover changes, thoughtful planning, and alteration in better management of cities and villages. Therefore

India is a biodiversity-rich country. The panorama of Indian forests ranges from tropical evergreen rain forests in the Andaman and Nicobar Islands, the Western Ghats, and the north-eastern States, to Dry Alpine Scrub high in the Himalayas in the north. On the other extreme, tropical dry deciduous and thorn forest is found in the deserts and dry areas of Rajasthan and Gujarat. The variety and distribution

Himalayan region is a water tower (W.T.) of Asia due to a large concentration of cryosphere. The area generates a large amount of water and used by the millions of people living in the Indo-Gangetic plains. The W.T. provides a sustainable source of water for Indus, Ganga, and Brahmaputra river basins. By considering the importance of the Himalayan cryosphere, the field-based glaciological programme

Today, as structures with life expectancy of more than 100 years are being constructed, it is vital to gain knowledge about the gradual decline in material properties. Accordingly, to ensure the longevity and safety of these structures, monitoring has been incorporated as a fundamental part of their service life. To monitor structural deformation, various methods have been developed, with the most

Indian Remote Sensing (IRS) program has always focused on food security needs and applications. IRS-1C was the fourth satellite on the IRS platform after many successful applications from IRS-1A, 1B, and P2 satellites. The LISS-I and LISS-II camera onboard IRS-1A/1B/P2 platform provided useful data for various natural resource management applications of country, including inventories of major crops

Freshwater is a major concern in arid and semi-arid regions of the West Bank due to political conditions where the Israeli occupation controls the groundwater resources and physical drivers such as land use/land cover (LULC) changes. The Nablus Mountains region receives between 175 and 739.1 mm of annual rainfall. Hence, direct runoff is high and untapped because of surface and rainfall characteristics

The site Halebidu in Karnataka, India, is famous for its ornately carved Hoysala style temples. This fortified city was the capital of Hoysala dynasty in the twelfth century AD and possessed unique and exquisite examples of temple architecture that was typical of Hoysala style, only a few of which have survived. The site of Halebidu features as one of the two sites in the "Sacred Ensembles of the Hoysala"

An accurate detection of agricultural fields is often needed for agricultural-related applications, such as subsidies monitoring, field-based crop yield estimation and agricultural statistics extraction. High-resolution space images have become the fundamental source to extract agricultural field boundaries. Manual boundary delineation is not practical. In this study, we present an approach to detect

The feasibility of integrating urban biophysical descriptors into land surface temperature (LST) prediction in a rapidly urbanizing region, Jinan, China, was explored. We combined several models, including LST and an urban biophysical descriptor generation algorithm, through regression analysis and cellular automata-Markov modeling. First, the relationship between the indices, including the soil-adjusted

Indian Remote Sensing (IRS) programme started in 1970s and has grown very systematically in all aspects of sensors, data products and applications for resources survey. Imaging systems onboard IRS-1C satellite, flown in 1995, made a remarkable impact by providing on a single platform, the ability to simultaneously image in multiple spectral channels, multiple geometric resolutions and multiple revisit

Crop acreage estimation is an essential component for forecasting crop production. Menthol mint acreage estimation is a necessity as the crop production data change every year due to fluctuations in the market prices of menthol mint oil; hence, the rate available to farmers also changes every year. These acreage estimation studies would be helpful in reducing the uncertainties of menthol mint production

Efficient water management is essential for water and food security leading to socio-economic development. In order to build resilience and achieve water security, planning and management of water resources projects needs to be based on realistic assessment of related aspects. This requires comprehensive, reliable and easily accessible information on demand, availability and utilisation of water resources

India presents among the world’s most topographically complex geomorphologies, with land elevations ranging from –2 m to + 8586 m and terrain gradients sometimes exceeding 45°. Here, we present an evaluation of four freely available digital surface models (DSMs) on a model-to-model basis, as well as a validation using independent ground-truth data from levelled benchmarks in India. The DSMs tested

Soil salinization is a world-wide phenomenon that threatens ecological environment and agricultural production. Modeling soil salt content (SSC) is a big challenge because of its huge spatiotemporal variation and the interference of soil water content (SWC) and soil salt types. Prior studies showed more interest in the use of hyperspectral reflectance, while few studies focused on thermal infrared

According to the agreement of border sharing between India and China, China was supposed to be posted till finger 8 position and India till finger 4 position and between the finger 8 and finger, 4 was considered no man’s land in which only patrolling is allowed. But in recent days, chinese has crossed finger 8 position and has set up its camp near finger 4 position means in no man’s land, therefore

Farmers have more requirements for the completion of cultivations. Remote sensing is a big technology for reducing this requirement. Now, we need an organic spraying system at a low cost. We have two methods, first one neural network algorithm of quantum geographic information system (QGIS) and another one global positioning system (GPS) with drone. This paper describes the analysis of drone remote

The shallow seawater depth inversion based on remote sensing technology is important for water depth detection, which is of considerable significance to marine engineering, shipping, and marine military security. In this study, we took the Taiping Island and its adjacent waters in the South China Sea as a test bed and developed a water depth inversion model on the basis of extreme learning machine

In India, the urban population is likely to be 40% of its total population by the year 2030. In such a scenario, managing urban areas is a challenge for planners in terms of developing sustainable infrastructures and addressing environmental issues. The transitional areas in the surroundings of the peripheral region of large and growing cities are called Desakota. Monitoring of such areas is essential

The land-use/land-cover (LU/LC) information can be extracted through continuous monitoring and observation of the global environment in the field of RS and GIS (remote sensing and geographic information system). With many inventions on satellite technologies, RS plays a crucial role throughout the world, and the researchers had shown their interest in finding the past, present, and future LU/LC information

Wetlands provide critical services such as protection against flooding and wave action, water quality maintenance, habitat provision, food products, etc. Ashtamudi is the second-largest wetland ecosystem in Kerala state, and it provides numerous ecosystem services (ES). This study has analysed the economic value and current status of 11 important ES provided by this wetland. The considered services

Groundwater

Accurate soybean yield estimates are important for establishing effective agricultural and soybean trade policies aimed at ensuring food security in China. Unmanned aerial vehicles (UAV) have been used to collect hyperspectral remote sensing data for soybean yield inversion owing to the flexibility, efficiency, and low cost of the technology. Traditional yield inversion algorithms are based on physiological

UAV technology when aided with the unique data acquisition strategies, preprocessing techniques and analytical abilities of an established domain of remote sensing provide more affordable, customized and user-friendly option of “UAV-Remote Sensing”. This extended branch of remote sensing flourishes in both the mapping and measurement, if implemented in the ordered fashion to ensure remote sensing grade

Monitoring the spatio-temporal variation in soil moisture content (SMC) of the surface soil layer is essential for agriculture and water resource management activities, especially in regions where the socio-economic condition and livelihood depend upon agriculture and allied sectors. In the present study, we have compared different machine learning (ML) and linear regression models to estimate the

The Xiong'an New Area was established by the Chinese government on 1 April 2017 as a new district in the Hebei Province, and soon after its establishment, investigations on the waterbodies of the district began to initiate governance. In this study, data from 105 Sentinel-2 cloudless images for the period April 2016–September 2019 were analysed to understand the changes in the concentrations of chlorophyll-a

Dimensionality reduction strategies can be broadly categorized as band selection and feature extraction. Researchers and analysts from the remote sensing community give greater preference to band selection over feature extraction as the latter modifies the original reflectance values of hyperspectral data, making it difficult to understand the behavior of the materials in terms of their reflectance

Satellite data are making revolutionary changes in the field of archaeology, and nowadays they have been widely used by the scientific community for regular mapping and monitoring of cultural heritage sites. The development of synthetic aperture radar (SAR) sensors helps in monitoring the heritage site with higher accuracy. This study uses the Persistent Scatter Interferometric SAR (PSInSAR), which

Classification of remotely sensed imagery with the integration of spatial context should be a constructive way of improved accuracy in image classification. An efficient spatial–spectral classification approach with colorimetric edge preservation of spatial–spectral modeling is processed. This research paper consists of three phases first, and the multispectral imagery [Captured by unmanned aerial

Infrastructure is one of the main pillars and parameter for India’s overall development. Monitoring and evaluation of the construction activities and concrete elements at early ages is necessary to increase structural stability and durability. There is a need for sophisticated technologies for real-time monitoring of construction activities for visually updating the progress in construction, which

Momentous studies have substantiated semantically enriched 3D city models with numerous urban related applications. Utility networks plays a vital role, hence detailed 3D data modeling of utility networks along with 3D urban space can perform various simulations and analysis on urban planning, utility and asset management. Detailed representation of utility networks is not yet studied till now, as

The Unmanned Aerial Vehicle often known as UAV plays a central role in providing multifarious services which can be encapsulated under following major categories namely military, research and civil. Various studies have revealed that unlike the military UAV the civil UAV uses unauthenticated, unencrypted and predictable signals and thus can be easily manipulated. With the burgeoning dependency on UAVs

The changes that occur in various forms of land classes are known as land-use and land-cover changes (LULC). Such changes have a substantial impact on the contours of an urban basin and consequently have an effect on the surface runoff of the rainfall that occurs in the area. The runoff features obviously deteriorate because of the decrease in initial abstraction, and an increase in imperviousness

Autonomous UAV technology is limited in its ability to land safely at distinct airfields that have not been precisely surveyed and where GPS is unavailable. In this paper, we present a multi-sensor system for the automatic landing of fixed-wing UAV. The system is composed of a high precision aircraft controller, a range finder (Lidar) and a vision module used for detection and tracking of runways.

Characterization of forests is an important aspect for the management and conservation of biodiversity and satellite remote sensing provides opportunity to rapidly assess biodiversity patterns across large geographical areas. The present study aimed to characterize vegetation in a landscape with heterogenous topography using medium resolution Sentinel-2 satellite data and random forest (RF) machine

This is an empirical study that attempts to explore the spatiotemporal changes of Urban Water Bodies (UWBs) in the Chittagong Metropolitan City from 1989 to 2015, using Remote Sensing and Geographic Information Systems analytic techniques. More precisely, Ground Truthing, along with Landsat™ data and/OLI satellite images was collected for the years 1989, 2001, 2010 and 2015, respectively; Checklist

Bengaluru has a unique place due to its pleasant weather and green cover. Off late, the city has witnessed phenomenal urban growth, especially during last few decades. This study was envisaged to assess the decadal changes in vegetation cover of Bengaluru using multispectral IRS satellite imagery of 2006 and 2019 within Bruhat Bengaluru Mahanagara Palike (BBMP) area. Satellite datasets were analysed

The polarimetric distortion in the PolSAR datasets causes the polarimetric decomposition and classification techniques to produce wrong outputs, which result in misinterpreting the scattering phenomenon and the ground targets. The most important polarimetric distortions in airborne PolSAR datasets are the channel imbalance and crosstalk. The minimization of these polarimetric distortions using polarimetric

Unmanned aerial vehicle (UAV) is a multi-role avionic system used for many applications. Photogrammetry is the art and science of locating and measuring the geometric property of spatial objects from photographs captured remotely using sensors from air and space. This paper discusses the design of a new integrated system combining the capability of three different technologies, viz. UAV, photogrammetry

Information extraction from unmanned aerial vehicle (UAV) images has progressed to a great extent. The focus for geospatial data sensing, representation, processing, visualization and information delineation has gradually shifted to UAV, because of its fast delivery with very high spatial resolution data. The users from various fields have started using the UAV data for potential field uses. The land

The sequestration of carbon in the forest is very high after soil and ocean; this is one of the major factors which makes monitoring of forests very much essential. The traditional inventory techniques were very much exhaustive and needed encroachment into the inaccessible forest area, which create lot of difficulties to foresters and other researchers, that is why, most of the areas of intense forests

Unmanned aerial vehicle (UAV)-based multispectral remote sensing has shown a tremendous potential normalized difference vegetation index (NDVI) for precision agriculture. In this study, data captured from a UAV equipped with a Multispectral Mica Sense Red Edge camera used as ground-truth information to calibrate Sentinel-2 imagery. UAV-based NDVI allowed crop estimation at 10-cm pixel resolution by

Identification of a suitable site is a crucial step for the sustainability of an aquaculture venture. This study shows a framework for identifying areas suitable for freshwater and brackishwater aquaculture in India while integrating the governing regulations. Land use and land cover (LULC) maps at 1:10,000 scale derived from high-resolution imagery were used as base maps, along with allied layers

In recent years, the damage caused by dust in different parts has increased dramatically. There are many dusty areas around the world. One of these regions in the southwest of Asia is Iran. The purpose of this study is to model and predict the hazardous dust phenomenon in dusty regions of Iran. For this purpose, dust data from 28 stations of intense dusty areas in Iran were collected at 29-year time

Earlier conventional photogrammetric techniques were used in the topographic mapping using a large format digital camera known as aerial photogrammetry. Recent advancements in UAV technology for photogrammetric purposes have provided a necessity of state-of-the-art photogrammetric software for processing images acquired using UAV. These so-called drones come with an inbuilt GPS and IMU system to geotag

In the regional ecological risk assessment (RERA) research with respect to human disturbance, risk source–receptor identification and corresponding indicators selection are of great importance. In this study, three regional function indexes, i.e., production function index, living function index, and ecology function index, were produced and incorporated into the human-caused RERA research. Among them

This study presents a modeling method for control system of multi-coupled nonlinear cyber physical system with the help of second-order dynamics of communicating membrane system of neuronal population based on a population coding algorithm. Here, the communicating membrane system is modeled based on the theory of fractional differential equations. Here, the challenge relies on the development of a

Applications of unmanned aerial vehicles (UAVs) based remote sensing is increasing rapidly due to their advanced accessibility, capability for fast and easy deployment, capability for miniaturization of sensors and efficient collection of remotely-sensed data from relatively low altitudes. Recently, UAV data sets have been found to be quite useful for forest feature identification due to their relatively

Natural disasters such as flood, tsunami, earthquake and cyclones usually influence the microspaces and in urban areas, thereby causing the problem to rescuers to make way to the victims. Rescue operations in these situations are also hampered due to darkness caused by power cut and unavailability of other light sources to rescue people in peril or to even carry out evacuation operations. Therefore

The unmanned air vehicle (UAV) industry is prophesized to play a profoundly vital role in global technological advancement. The emerging global market for drone-powered solutions is valued at 127 billion dollars, and a projected increase in the number of UAVs between 2017 and 2022 is from 1.1 to 2.4 million. This increased UAV usage will cause an ecstatic burden on the airspace resulting in collisions

UAVs for aerial photography have been promoted as the new way to map large areas efficiently. The cost of the technology is comparable to that of GNSS survey, and the results are comparable with much greater resolution. This is a major leap forward. The objective of this paper is to analyze the survey methodologies using a Lidar- and UAV-based photogrammetry and compare an overall approach over a chimney

The rapid growth of major cities across the counties demands accurate building extraction techniques. Unmanned Aerial Vehicles (UAV) help in obtaining terrain information that can be used to extract urban features. Recent advancement has led to the capture of aerial images of the earth surface in micro-detail using UAV. These aerial images enable us to perform classification, feature extraction, and

Tax mapping is an essential element for efficient management of real estate property and tax management, paving the way for effective implementation of g-governance practices in India. Conventional mapping of individual buildings and their attributes involves large effort and is time-consuming. The use of high-resolution UAV imagery facilitates the process of automatic extraction of land parcel, roof

The polarization orientation angle (POA) shift results in higher cross-polarization intensity in the HV and VH channels making the reflection asymmetrical. The L-band quad-pol dataset acquired over the Fujiyama mountain, Japan by the Uninhabited Aerial Vehicle Synthetic Aperture Radar of JPL/NASA was used in this study to analyse the effect of POA shift in the polarimetric decomposition techniques

Unmanned aerial vehicles (UAVs)/drones are used to capture and monitor real-time data for various applications. Different sensors may be mounted on the UAV like 4K RGB camera, RedEdge-M and many others. 4K camera is used to capture an image in RGB bands, and RedEdge-M captures an image in five bands namely Blue, Green, Red, RedEdge and Near Infrared having a center wavelength of 475, 560, 668, 717

Unmanned aerial vehicles (UAV) have emerged as new platforms for acquiring ultra-high resolution images, which are challenging for extraction of features using conventional image processing approaches. Tree canopies are required to be constantly monitored for better planning and management. UAV is currently one way to survey canopies over a large area for precisely estimating their geometry. Conventional