<abstract xmlns="http://www.w3.org/1999/xhtml">

The study focused on investigating the seasonal and spatiotemporal relationship between the relationships of LST with four spectral indices (MNDWI, NDBaI, NDBI, and NDVI) in and around Manipur City of India using eight cloud-free Landsat data from the summer and winter seasons for 1991, 2001, 2011, and 2021. These spectral indices respond differently to the change of LST in an urban landscape. Pearson’s linear correlation coefficient was the basis of the correlation analysis. The study finds that LST builds a moderate negative relationship with NDVI (R = -0.42) and MNDWI (R = -0.42), a moderate positive relationship with NDBaI (R=0.48), and NDBI (R = 0.61). The relationship is more stable in the winter season (CV = 7.31, 7.04, 10.45, and 28.71 for MNDWI, NDBaI, NDBI, and NDVI, respectively) than in summer (CV = 44.46, 36.09, 23.67, and 29.71 for MNDWI, NDBaI, NDBI, and NDVI, respectively). The strength of the relationship is gradually increasing in the winter season while there is no such effect noticed on the trend in the summer season. The LST-NDBI relationship is the most consistent (CV = 18.19), while the LST-NDVI relationship is the most variable (CV = 30.37).
</abstract>

A Seasonal Investigation on Land Surface Temperature and Spectral Indices in Imphal City, India

<abstract xmlns="http://www.w3.org/1999/xhtml">

Information related to land use and land cover is an inevitable prerequisite for formulating any decision making for land information system. The easiest and most effective way to gather such information is via using Earth observation satellites supported by ground data. Synthetic Aperture Radar (SAR), due to its additional unique intrinsic characteristics is favoured over the optical systems for procuring land information. An innovative and effective technique for land feature detection is the use of polarimetric capabilities of SAR. Generally applicable for quad polarized data, this study investigates the polarimetric capabilities of a dual polarized data obtained from ALOS PALSAR, which is not a general notion. The approach applied in the study shows accurate results for detection of land features using polarimetric decomposition of dual polarized ALOS PALSAR data over an area of Munger in the state of Bihar, India. Twelve distinct land cover features are identified in the study area using this approach. The polarimetric products are also investigated for deriving the biomass information for the vegetation cover in the study area. The relation between in-situ biomass generated from floral species-specific volumetric equations and SAR polarimetric products showed a moderate correlation of 0.56 with RMSE=29.13 t/ha and data agreement of 0.62 based on exponential regression model for predicting biomass. The decomposition parameters revealed more evidences for forest structure and feature identification rather than biomass information. The method adopted in the study can be well utilized for land resource information and mapping; hence, natural and man-made resource monitoring and management.
</abstract>

A Review of Land Cover Information using H/A/Α Polarimetric Decomposition of Dual Pol Sar Data

<abstract xmlns="http://www.w3.org/1999/xhtml">

The usage of remote sensing data for tracking or monitoring war conflicts is a reality nowadays. The Russian invasion in Ukraine seriously impacted on the environment of the attacked country in all areas: air, soil, water, flora and fauna. The war has created a massive increase in air pollution in some regions of Ukraine, and might have effect in neighbouring countries. The Russian attack has caused many fires at places such as oil depots, industrial complexes, equipment and ammunition stockpiles, the forests, and residential areas. In addition to this, many bridges, hydraulic and other structures located over and near the water bodies were destroyed. These events were analysed in this paper by using publicly available remote sensing data: NOAA-2, Suomi NPP, Aqua and Terra satellites, Sentinel and Landsat satellites, as well as from other sources open to public. We assume that the use of remote sensing data is an excellent tool to monitor effects of military conflicts on environment. The conducted research with proposed method can serve as a good scientific practice that should be implemented for monitoring of the harm to nature caused by wars.
</abstract>

University of Natural Resources and Life Sciences

The Use of Remote Sensing Data for Investigation of Environmental Consequences of Russia-Ukraine War

<abstract xmlns="http://www.w3.org/1999/xhtml">

In the 1970s and 1980s, the concept of ecological networks was developed in the Czech Republic. The first biocorridors were established on arable land in the beginning of the 1990s. One of them was the Vracov biocorridor. This paper deals with the growth and development of trees on two permanent research plots in the period from 1993–2021. In the biocorridor, repeated inventories of woody plants and monitoring of biometrical parameters of trees and shrubs were carried out. The number of woody plants has been decreasing as the level of stand canopy has increased. Moreover, mean heights and diameters of skeleton (<italic>Quercus robur</italic>, <italic>Tilia cordata</italic>) and filling (<italic>Acer campestre</italic>, <italic>Prunus avium</italic>) trees and shrubs (<italic>Cornus sanguinea</italic>, <italic>Ligustrum ovalifolium</italic>) were compared. Under the given conditions, the growth of these tree species can be positively evaluated.
</abstract>

Thirty Years of Growth of Woody Plants in a Biocorridor Established on Agricultural Land: Case Study From Vracov (Czech Republic)

<abstract xmlns="http://www.w3.org/1999/xhtml">

Aerosol monitoring is the emerging application field of satellite remote sensing. As a satellite-based indicator of aerosol concentration, aerosol optical depth (AOD) can aid in assessing the crucial effects of aerosols on the global environment. Among various satellite-based aerosol product, Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 (C6), Multiangle Implementation of Atmospheric Correction (MAIAC) aerosol product (1 km resolution) has still untapped potential in Indian regions. Considering the importance of regional validation of such high-resolution aerosol product, the present study attempts to fill this gap by validating MAIAC aerosol estimates (AODMAIAC) in highly polluted districts (Faridabad, Ghaziabad, Gautam Budh Nagar, Gurugram) of National Capital Region (NCR) with heavy aerosol loading using limited AErosol RObotic NETwork (AERONET) observations obtained from AERONET sites at Amity University (AU) and Gual Pahari (GP). Such evaluation of satellite-retrieved aerosol product with ground data confirms its practicality based on retrieval errors (Expected Error (EE) values (EE = 0.05 + 15 %*AOD) (EE: 78.85 % at AU, 73.58 % at GP), root mean square error (RMSE) values (RMSE: 0.15 at AU, 0.24 at GP), and correlation coefficient (R) values (R: 0.86 at AU, 0.73 at GP). The seasonal variation in AOD over the study area from 2010-2019 reveals increasing trend of AOD in the monsoon and post-monsoon season due to natural and anthropogenic factors. In addition to contributing to a holistic assessment of MAIAC aerosol estimates as a recent, high-resolution aerosol product, present results provide a basis for further research into NCR aerosols.
</abstract>

Analysis and Variation of the Maiac Aerosol Optical Depth in Underexplored Urbanized Area of National Capital Region, India

<abstract xmlns="http://www.w3.org/1999/xhtml">

Cities are spatially expanding rapidly, leading to urban sprawl. This study aims to understand the nature of the urban expansion of Chennai city, located on India’s southeastern coast, by determining the urban growth pattern and identifying the urban sprawl areas. The urban growth pattern and sprawl areas between 1998 and 2019 are identified using remote sensing data through the delineation of the Urban Core Boundary (UCB). The urban areas were extracted from the Land Use Land Cover (LULC) classification using combined classification technique to delineate the UCB. All the findings were validated using ground truth information. LULC classification performed with an accuracy of more than 90 % for urban land cover revealed an increase in urban cover by 71.77% from 1998 to 2009 and
36.91 % from 2009 to 2019. The delineated UCB’s peripheral distance was measured from the city centre in an anticlockwise direction from 0˚ to 360˚ at every 10˚ interval. It is observed that the urban core boundary expanded to a maximum of 16.02 km along 240˚ and
11.93 km along 220˚ from the city centre, and the lands in the vicinity of the National Highway (NH 32), which is situated between these sectors, experienced maximum urban development. The study also pinpointed the sprawl areas during the study period, revealing that the urban sprawl occurs along the highways, around designated special economic zones, and industrial corridors.
</abstract>

Assistant Professor, Department of Civil Engineering

Associate Professor, Department of Civil Engineering

Assessment of Urban Expansion and Identification of Sprawl Through Delineation of Urban Core Boundary

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Journal of Landscape Ecology

The Journal of Landscape Ecology supports integration of knowledge from geo-, bio- and socio-sciences at the ecosystem and landscape level. Great emphasis is given to relationships between nature and culture including knowledge of ancient landscapes. The Journal publishes papers on spatial and temporal heterogeneity especially in the context of climate change and its impacts on terestrial environment across adequate scale hierarchy. Expertise from the spheres of land-use planning and design, habitat and landscape typology, ecosystem management, biodiversity protection and ecological restoration, and rules of ecological processes are promoted. The scope of the journal includes different landscapes and ecosystems of the world.  Why subscribe and read  Journal of landscape ecology publishes articles focused on spatial and temporal heterogeneity in natural and cultural landscape. Journal supports integration of geo-, bio- and sociosciences at the landscape level.  Why submit  Journal of Landscape Ecology is a peer-reviewed scientific journal according to standard procedure.  Rejection Rate   50%   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 