Measuring, modelling and managing gully erosion at large scales: A state of the art

M Vanmaercke, P Panagos, T Vanwalleghem… - Earth-Science …, 2021 - Elsevier
Soil erosion is generally recognized as the dominant process of land degradation. The
formation and expansion of gullies is often a highly significant process of soil erosion …

Large-scale forecasting of Heracleum sosnowskyi habitat suitability under the climate change on publicly available data

D Koldasbayeva, P Tregubova, D Shadrin… - Scientific reports, 2022 - nature.com
This research aims to establish the possible habitat suitability of Heracleum sosnowskyi
(HS), one of the most aggressive invasive plants, in current and future climate conditions …

Assessment of soil loss by water erosion in small river basins in Russia

K Maltsev, O Yermolaev - Catena, 2020 - Elsevier
Prolonged and intensive agricultural exploitation in the European territory of Russia has
resulted in extensive soil erosion, which has led to anthropogenically induced degradation …

Soil erosion in the Central Russian Upland: A review

AP Zhidkin, MA Komissarov, EN Shamshurina… - Eurasian Soil …, 2023 - Springer
This literature review analyzed more than 100 publications on soil erosion in the Central
Russian Upland, one of the most erosion-prone regions of Russia. The selection of scientific …

Advancing Agricultural Crop Recognition: The Application of LSTM Networks and Spatial Generalization in Satellite Data Analysis

A Gafurov, S Mukharamova, A Saveliev, O Yermolaev - Agriculture, 2023 - mdpi.com
This study addresses the challenge of accurate crop detection using satellite data, focusing
on the application of Long Short-Term Memory (LSTM) networks. The research employs a …

The use of deep machine learning for the automated selection of remote sensing data for the determination of areas of arable land degradation processes distribution

DI Rukhovich, PV Koroleva, DD Rukhovich… - Remote Sensing, 2021 - mdpi.com
Soil degradation processes are widespread on agricultural land. Ground-based methods for
detecting degradation require a lot of labor and time. Remote methods based on the …

Updating of the Archival Large-Scale Soil Map Based on the Multitemporal Spectral Characteristics of the Bare Soil Surface Landsat Scenes

DI Rukhovich, PV Koroleva, AD Rukhovich… - Remote Sensing, 2023 - mdpi.com
For most of the arable land in Russia (132–137 million ha), the dominant and accurate soil
information is stored in the form of map archives on paper without coordinate reference. The …

Informativeness of the long-term average spectral characteristics of the bare soil surface for the detection of soil cover degradation with the neural network filtering of …

DI Rukhovich, PV Koroleva, AD Rukhovich… - Remote Sensing, 2022 - mdpi.com
The long-term spectral characteristics of the bare soil surface (BSS) in the BLUE, GREEN,
RED, NIR, SWIR1, and SWIR2 Landsat spectral bands are poorly studied. Most often, the …

Solutions for the spatial organization of cropland with increased erosion risk at the regional level: A case study of Belgorod Oblast, European Russia

ZA Buryak, AG Narozhnyaya, AV Gusarov, AA Beylich - Land, 2022 - mdpi.com
Among the reasons for soil degradation, runoff-induced erosion causes the greatest damage
to agriculture in European Russia. One of the effective tools for regulating soil erosion is …

Basin-scale approach to integration of agro-and hydroecological monitoring for sustainable environmental management: A case study of Belgorod Oblast, European …

Z Buryak, F Lisetskii, A Gusarov, A Narozhnyaya… - Sustainability, 2022 - mdpi.com
The quantitative and qualitative depletion of water resources (both surface and
groundwater) is closely related to the need to protect soils against degradation …