Usage of <scp>MODIS NDVI</scp> to evaluate the effect of soil and water conservation measures on vegetation in Burkina Faso

Nyamekye, Clement; Schönbrodt-Stitt, Sarah; Amekudzi, Leonard K.; Zoungrana, Benewinde J.‐B.; Thiel, Michael

doi:10.1002/ldr.3654

Cited by 19 publications

(16 citation statements)

References 51 publications

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“…These in turn have implications for strategies toward sustainable development, managing negative impacts of climate change on different ecosystems and their service provision to local communities and wider issues of maintaining biodiversity and reducing soil erosion, amongst others [20,51,81]. This is important because some ecosystems can maintain their existing services or even enhance their future service provision under appropriate management strategies [5,26].…”

Section: Implications For Climate Change Land Degradation and Sustainable Developmentmentioning

confidence: 99%

“…degradation [18,[24][25][26]. The advantage of remote sensing approaches is that changes over larger areas can be identified more easily, consistently and with the same resolution or error, which cannot be achieved in field studies, especially in remote locations.…”

Section: Introductionmentioning

confidence: 99%

“…For example, land degradation may be considered as a decrease in net primary productivity (NPP) [14,[40][41][42] and/or a reduction in the value of ecosystem and other environmental services (e.g., water, soil quality) [11,43]. Remote sensing methods of mapping regional vegetation change and land degradation have been widely used across southern Africa for examining spatial and temporal variations in semi-natural ecosystems that are important for biodiversity and ecosystem services (e.g., [22,[26][27][28]44,45]). Specifically, NDVI values from time series of remote sensing data can be used to identify which regions are undergoing a decrease in NPP values [46,47] and are thus experiencing degradation, compared to those regions where NPP values are increasing (e.g., [48]).…”

Section: Introductionmentioning

confidence: 99%

“…Field methods include measuring carbon storage within biomass and evaluating cultural services through ethnographic methods (e.g., [12,[21][22][23]). Remote sensing methods include calculating ecosystem changes and normalized difference vegetation index (NDVI) values as a function of land degradation [18,[24][25][26]. The advantage of remote sensing approaches is that changes over larger areas can be identified more easily, consistently and with the same resolution or error, which cannot be achieved in field studies, especially in remote locations.…”

Section: Introductionmentioning

confidence: 99%

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Valuation of Ecosystem Services in South Africa, 2001–2019

et al. 2021

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Although changes in ecosystems in response to climate and land-use change are known to have implications for the provision of different environmental and ecosystem services, quantifying the economic value of some of these services can be problematic and has not been widely attempted. Here, we used a simplified raster remote sensing model based on MODIS data across South Africa for five different time slices for the period 2001–2019. The aims of the study were to quantify the economic changes in ecosystem services due to land degradation and land-cover changes based on areal values (in USD ha−1 yr−1) for ecosystem services reported in the literature. Results show progressive and systematic changes in land-cover classes across different regions of South Africa for the time period of analysis, which are attributed to climate change. Total ecosystem service values for South Africa change somewhat over time as a result of land-use change, but for 2019 this calculated value is USD 437 billion, which is ~125% of GDP. This is the first estimation of ecosystem service value made for South Africa at the national scale. In detail, changes in land cover over time within each of the nine constituent provinces in South Africa mean that ecosystem service values also change regionally. There is a clear disparity between the provinces with the greatest ecosystem service values when compared to their populations and contribution to GDP. This highlights the potential for untapped ecosystem services to be exploited as a tool for regional sustainable development.

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Section: Implications For Climate Change Land Degradation and Sustainable Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Valuation of Ecosystem Services in South Africa, 2001–2019

et al. 2021

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“…A previous study used GIM-TR to analyze vegetation change in a relatively small study area [25], but its results showed that GIMMS NDVI was too coarse to detect enough breakpoints by BFAST, which would lead to an underestimation of the vegetation decrease. However, data from a new generation of satellites, namely Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI data, with a higher resolution (i.e., 250 m, 500m and 1000m) is more commonly used to detect the vegetation change in small study areas [26][27][28]. In addition to MODIS NDVI, the NDVI calculated from Landsat data with higher resolution (i.e., 30 m) was also used to detect vegetation change in small area.…”

Section: Introductionmentioning

confidence: 99%

Detecting Vegetation Change in the Pearl River Delta Region Based on Time Series Segmentation and Residual Trend Analysis (TSS-RESTREND) and MODIS NDVI

Zhu

Kuang

et al. 2020

Remote Sensing

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Time Series Segmentation and Residual Trend analysis (TSS-RESTREND) can detect an abrupt change that was undetected by Residual Trend analysis (RESTREND), but it is usually combined with the Global Inventory for Mapping and Modeling Studies (GIMMS) Normalized Difference Vegetation Index (NDVI), which cannot detect detailed vegetation changes in small areas. Hence, we used Time Series Segmentation and Residual Trend analysis (TSS-RESTREND) and Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI (MOD-TR) to analyze the vegetation dynamic of the Pearl River Delta region (PRD) in this study. To choose the most suitable MODIS NDVI from MOD13Q1 (250 m), MOD13A1 (500 m), and MOD13A2 (1 km), whole and local comparison of results of the break year and MOD-TR were used. Meanwhile, a comparison of vegetation change at the city-scale was also implemented. Moreover, to reduce insignificant trend pixels in TSS-RESTREND, a combination method of TSS-RESTREND and RESTREND (CTSS-RESTREND) was proposed. We found that: (1) MOD13Q1 and MOD13A1 two NDVI were suitable for combination with TSS-RESTREND to detect vegetation change in PRD, but MOD13Q1 was a better choice when considering the accuracy of local detailed vegetation change; (2) CTSS-RESTREND could detect more pixels with a significant change (i.e., significant increase and significant decrease) than those of TSS-RESTREND and RESTREND. Also, its effectiveness could be verified by Landsat data; (3) at the city-scale, the CTSS-RESTREND detected that only vegetation decreases in Shenzhen, Foshan, Dongguan, and Zhongshan were higher than vegetation increases, but, significant vegetation changes (i.e., decreases and increases) were mainly concentrated in Huizhou, Jiangmen, Zhaoqing, and Guangzhou.

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Costs and benefits of landscape‐based water retention measures as nature‐based solutions to mitigating climate impacts in eastern Germany, Czech Republic, and Slovakia

et al. 2022

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In eastern Germany, the Czech Republic, and Slovakia, historic policies led to large, monocropped agricultural landscapes resulting in degradation of traditional landscapes. In the last 20 years, the expansion of urban and industrial areas has added to this degradation. The growing interest in nature‐based solutions, including water‐retention measures, is a response to reversing landscape degradation, rejuvenating ecosystem services, and mitigating the impacts of large‐scale commercial agriculture and climate change. In this study, the costs and benefits of water‐retention measures in eastern Germany, the Czech Republic, and Slovakia are assessed. Results indicate that water‐retention measures offer increased water availability over all land use classes assessed, help increase crop productivity, and aid in landscape cooling. Croplands are suggested as being the best value for money, offering the greatest volume potentials (mean = 88 million m3), cooling effects (mean = −1.6°C), and productivity gains (mean = €66 million yr−1), while also being the cheapest to implement per unit area. Differing policies in the three states will likely result in non‐uniform selection or implementation of measures. Future work should focus on local‐level studies offering greater practical messages beyond the regional‐level analysis conducted here. This work contributes to the growing body of literature assessing the costs and benefits of water‐retention measures, including the potential for landscape cooling, lowering temperature gradients, and ecosystem restoration. As the world urbanises, and as more land is converted to homogeneous cropland, such measures may prove critical in mitigating climate change, landscape drying, flood runoff, and soil and nutrient loss.

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Usage of MODIS NDVI to evaluate the effect of soil and water conservation measures on vegetation in Burkina Faso

Cited by 19 publications

References 51 publications

Valuation of Ecosystem Services in South Africa, 2001–2019

Valuation of Ecosystem Services in South Africa, 2001–2019

Detecting Vegetation Change in the Pearl River Delta Region Based on Time Series Segmentation and Residual Trend Analysis (TSS-RESTREND) and MODIS NDVI

Costs and benefits of landscape‐based water retention measures as nature‐based solutions to mitigating climate impacts in eastern Germany, Czech Republic, and Slovakia

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