[HTML][HTML] Monitoring and predicting the influences of land use/land cover change on cropland characteristics and drought severity using remote sensing techniques

BE Taiwo, AA Kafy, AA Samuel, ZA Rahaman… - Environmental and …, 2023 - Elsevier
Abstract The Federal University of Technology at Akure (FUTA) in Nigeria is experiencing
ongoing development that is leading to the replacement of agricultural and forestry land …

Quantifying climate variability and regional anthropogenic influence on vegetation dynamics in northwest India

A Banerjee, S Kang, ME Meadows, Z Xia… - Environmental …, 2023 - Elsevier
To explore the spatio-temporal dynamics and mechanisms underlying vegetation cover in
Haryana State, India, and implications thereof, we obtained MODIS EVI imagery together …

[HTML][HTML] Computing vegetation indices from the satellite images using GRASS GIS scripts for monitoring mangrove forests in the coastal landscapes of Niger Delta …

P Lemenkova, O Debeir - Journal of Marine Science and Engineering, 2023 - mdpi.com
This paper addresses the issue of the satellite image processing using GRASS GIS in the
mangrove forests of the Niger River Delta, southern Nigeria. The estuary of the Niger River …

[HTML][HTML] Detection of changes in the hydrobiological parameters of the Oder River during the ecological disaster in July 2022 based on multi-parameter probe tests …

D Absalon, M Matysik, A Woźnica, N Janczewska - Ecological Indicators, 2023 - Elsevier
Starting from the second half of July, hydrological conditions (low water levels and low flows)
and atmospheric conditions (high temperatures, lack of precipitation) contributed to algae …

Semi-empirical SAR vegetation index for crop discrimination based on biomass in semi-arid region: a case study in Perambalur district, India

V Krishnan, M Asaithambi - Remote Sensing Applications: Society and …, 2023 - Elsevier
Crop discrimination helps monitor crops and strengthen the agricultural industry to secure
food supplies. From existing crop-related studies and observations, found that vegetative …

Land cover multiclass classification of wonosobo, Indonesia with time series-based one-dimensional deep learning model

DB Sencaki, MN Putri, BH Santosa, S Arfah… - Remote Sensing …, 2023 - Elsevier
Mapping accurate land cover is critical to support authorities in producing a better land
management policy, particularly in Wonosobo, which suffers from increased erosion and …

[HTML][HTML] Using GEOBIA and vegetation indices to assess small urban green areas in two climatic regions

AM Popa, DA Onose, IC Sandric, EA Dosiadis… - Remote Sensing, 2022 - mdpi.com
The importance of small urban green areas has increased in the context of rapid
urbanization and the densification of the urban tissue. The analysis of these areas through …

[HTML][HTML] Modeling the impact of overcoming the green walls implementation barriers on sustainable building projects: A novel mathematical partial least squares …

AF Kineber, AE Oke, MM Hamed, EF Rached… - Mathematics, 2023 - mdpi.com
The sustainable building concept must be implemented throughout the project lifecycle to
achieve the highest proceeds without lowering the standard. Although implementing green …

Comparison of NDVI, NDRE, MSAVI and NDSI indices for early diagnosis of crop problems

A Voitik, V Kravchenko, O Pushka… - Agricultural …, 2023 - sciendo.com
In precision agriculture, it is possible to use satellite monitoring of fields. Satellite monitoring
systems allow you to get free images with a resolution of up to 10 m per pixel, which is …

Мониторинг состояния зеленых насаждений Санкт-Петербурга по материалам дистанционного зондирования

МЕ Скачкова, ОС Гурьева - Экология и промышленность …, 2023 - ecology-kalvis.ru
Аннотация Проведен расчет значений вегетационного индекса NDVI и анализ
динамики полученных значений в период с 2017 г. по 2021 г. для административных …