From Crops to Kilowatts: An Empirical Study on Farmland Conversion to Solar Photovoltaic Systems in Kushida River Basin, Japan DOI Creative Commons
Z.‐F. XIE, SM Asik Ullah, Chika Takatori

et al.

Geographies, Journal Year: 2024, Volume and Issue: 4(2), P. 216 - 230

Published: March 25, 2024

In Japan, rural areas are grappling with population decline and aging, leading to a shortage of labor for farmland maintenance. This has resulted in the abandonment or its conversion solar photovoltaic (PV) use. However, this unplanned raises concerns about agricultural productivity decline, landscape degradation, biodiversity loss, water resource maintenance, disaster prevention. study focuses on Kushida watershed, examining (1) accurate classification using remote sensing data, (2) geographical distribution converted PV systems from 2016 2021 concentrated along river, especially north-facing slopes, (3) highest rates wheat fields, followed by legume tea paddy (4) no clear correlation between conversions changes number farmers, but associations geography radiation levels. These findings contribute nuanced understanding sustainable development emphasizing importance considering factors PV.

Language: Английский

Studying the spatial non-stationary relationships of some physical parameters on the Earth's surface temperature using GWR in Upper Awash basin, Ethiopia DOI Creative Commons
Getahun Bekele Debele, Kassahun Ture Beketie

Scientific African, Journal Year: 2023, Volume and Issue: 23, P. e02052 - e02052

Published: Dec. 24, 2023

Exploring the spatial non-stationary relationships between land surface temperature (LST) and their driving environmental factors is important for selecting appropriate strategies to mitigate regulate thermal environment of watersheds. To examine influence various biophysical on LST in Upper Awash Basin (UAB) Ethiopia, study used two models: Ordinary Least Squares (OLS) Geographically Weighted Regression (GWR) models. As a global model, OLS model was initially capture overall relationship some factors. And then GWR, local modelling approach, its influencing generate factors, Landsat 8 OLI/TIRS image Advanced Spaceborne Thermal Emission Reflection Radiometer Global Digital Elevation Model (ASTER GDEM) were used. Biophysical parameters such as enhanced vegetation index (EVI), modified normalized difference water (MNDWI), built-up (NDBI), bareness (NDBaI), albedo elevation potential LST. The result showed that GWR with higher coefficient determination (R2) (GWR: 0.98; OLS: 0.52) smaller Akaike Information Criterion (AIC) 12354; 65412), provides better prediction than traditional reflecting non-stationarity relationships. results also increased significantly affected by NDBI, NDBaI albedo, NDBI having greatest effect. Conversely, EVI, MNDVI, DEM negative correlation LST, EVI impact. These findings highlighted importance considering pertinent they offer recommendations mitigating measures control river basin.

Language: Английский

Citations

5

Appraisal of groundwater quality for suitability of drinking and irrigation purposes of pandameru river basin, anantapur district, AP, India DOI

Ravi Kumar Pappaka,

Srinivasa Gowd Somagouni,

Krupavathi Chinthala

et al.

Arabian Journal of Geosciences, Journal Year: 2023, Volume and Issue: 17(1)

Published: Dec. 21, 2023

Language: Английский

Citations

4

Application of MNDWI index for flood damage area calculation in Lam river basin using google earth engine platform DOI Open Access

Ngoc Minh Trinh

Journal of Hydro-meteorology, Journal Year: 2024, Volume and Issue: 8(19), P. 1 - 11

Published: May 4, 2024

Floods, as natural occurrences, often result in significant impacts on human life.The construction of flood maps plays a crucial role devising appropriate strategies to mitigate the adverse effects floods.In recent decades, there has been notable attention towards mapping methods utilizing remote sensing images.This paper introduces methodology for generating an inundation map rainy season and river network.To achieve this objective, we investigated use recently developed Modified Normalized Difference Water Index (MNDWI) within Google Earth Engine platform extracting surface water.The study yielded extracted with considerable precision, facilitating calculation analysis extents area.

Language: Английский

Citations

1

A multi-scale classification method for rocky desertification mapping in the red-bed area of northwestern, Jiangxi, China DOI Creative Commons

Hao Tan,

Xiangjian Xie,

Junjun Sun

et al.

Geocarto International, Journal Year: 2023, Volume and Issue: 38(1)

Published: March 18, 2023

Currently, the monitoring of rocky desertification(RD) is concentrated in karst area, whereas study red-bed areas rare. In this paper, we present a multi-scale classification framework for RD based on spectral-spatial features. At pixel scale, explored several spectral indices statistics and separability analysis land cover samples. The homogeneous covers were classified by decision rules from selected (such as NDIOI, NRRI NDGI); patch classes further distinguished spatial multiple neighborhood features including proximity, linear density, buffer distance. method was applied an OLI image over area northwestern Jiangxi, south central China, validated using ground-based observations. experimental results verification comparison are satisfactory. This work demonstrates methodological supplement to red bed RD.

Language: Английский

Citations

2

From Crops to Kilowatts: An Empirical Study on Farmland Conversion to Solar Photovoltaic Systems in Kushida River Basin, Japan DOI Creative Commons
Z.‐F. XIE, SM Asik Ullah, Chika Takatori

et al.

Geographies, Journal Year: 2024, Volume and Issue: 4(2), P. 216 - 230

Published: March 25, 2024

In Japan, rural areas are grappling with population decline and aging, leading to a shortage of labor for farmland maintenance. This has resulted in the abandonment or its conversion solar photovoltaic (PV) use. However, this unplanned raises concerns about agricultural productivity decline, landscape degradation, biodiversity loss, water resource maintenance, disaster prevention. study focuses on Kushida watershed, examining (1) accurate classification using remote sensing data, (2) geographical distribution converted PV systems from 2016 2021 concentrated along river, especially north-facing slopes, (3) highest rates wheat fields, followed by legume tea paddy (4) no clear correlation between conversions changes number farmers, but associations geography radiation levels. These findings contribute nuanced understanding sustainable development emphasizing importance considering factors PV.

Language: Английский

Citations

0