Differential impact of remotely sensed dry dekads on maize yield in Zimbabwe

Kuri, Farai; Masocha, Mhosisi; Murwira, Amon; Murwira, Karin S.

doi:10.1080/10106049.2019.1583774

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…A number of studies have reported drought impact on single land cover types mostly focusing on crop, e.g. (Tollerud et al 2018;Kuri et al 2019;Gidey et al 2018;Kogan 1995). There are very few studies that have focused on the analysis of drought impacts on land cover types which are dominated by rural communities ('social pixels' or 'village pixels').…”

Section: Introductionmentioning

confidence: 99%

An assessment of remote sensing-based drought index over different land cover types in southern Africa

Marumbwa

Cho

Chirwa

2020

International Journal of Remote Sensing

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An understanding of drought and land cover interaction plays a crucial role in vegetation vulnerability studies and land use planning. However, there is paucity of information on drought, land cover and land use interaction in southern Africa. We analysed the drought impact on land cover using Globcover land cover data and Vegetation Condition Index (VCI) for the 2015 to 2016 season. The 2015 to 2016 season was chosen because it was the worst drought in southern Africa since the 1980s. We developed a novel land cover 'social pixels' or 'village pixels' which represents rural communities. The Kruskal-Wallis test was used to evaluate whether there is a significant difference in drought impact among the land cover classes. The response of each land cover to drought impact was calculated by correlating Standardized Precipitation Evapotranspiration Index (SPEI) and Normalized Difference Vegetation Index (NDVI). Our results reveal that the evergreen forests and the flooded vegetation were the most severely affected by the 2015-2016 drought. However, the lowest VCI values were recorded within the village pixels land cover, indicating the vulnerability of rural communities to drought impacts. The vegetation response to drought impact ranged from 2 months (crops) to 8 months (flooded vegetation). With regards to drought recurrence (1998 to 2018), the crop and grassland land cover recorded the highest drought frequency whilst the forest had the least drought frequency.

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Section: Introductionmentioning

confidence: 99%

An assessment of remote sensing-based drought index over different land cover types in southern Africa

Marumbwa

Cho

Chirwa

2020

International Journal of Remote Sensing

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“…The Normalized Difference Vegetation Index (NDVI) was usually used as the proxy as the production capacity of crop (CAO et al 2020), however, the relationship between NDVI and crop yield is also doubted by some scholars (Kuri et al 2014). In order to improve the accuracy, the crop intensity that combine the NDVI and growing period using multisource remote sensing imagery (Zhang et al 2021) was used to allocate the crop yields spatially of statistics data.…”

Section: Crop Provisionmentioning

confidence: 99%

From static state to dynamic simulation: a delivery-path-oriented approach to quantify ecosystem services and its application to ecological management

Fang

et al. 2023

Preprint

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As the researches on Ecosystem Services (ESs) become more systematic and mature, concerns on ESs flow have been raising because of its high value in aid ecological management and improvement of human welfare. Despite that the importance of ESs flow have been emphasized, they are mostly semantic, lacking the empirical operation of ESs quantification. Based on the reality observation and literatures extraction, we think the ESs flow can be assessed from direction characteristics, and three classic ESs, crop provision, water yield, and carbon sequestration were chosen as the cases. Combined with their delivery mediums of road work, river runoff, and atmosphere, they are distinguished and classified as three major flow directions, i.e., specific path, single path, and omni-direction. Moreover, the revised two-step floating catchment area method are employed to quantify the ESs flow size, for which has the basic information of supply-side, demand-side, flow direction and distance. The results show (1) the mismatch between supply and demand varies with different ESs and areas. (2) The characteristics of direction, path, services extent, and delivery size of ESs flows are depicted with their own unique attributes. (3) The final ecological status of different areas is changed by integrating the ESs flow into supply and demand, which shows the necessity of ESs flow consideration rather than just supply-demand pattern. This study complements the researches on ESs, generalizes the approach to quantify ESs flow, provides a comprehensive assessment on supply-demand relationship, and offers more scientific and reasonable references to city planning and ecological strategies.

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Climate variability and drought

Kusangaya,

Shekede

2024

Remote Sensing of Climate

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Differential impact of remotely sensed dry dekads on maize yield in Zimbabwe

Cited by 6 publications

References 26 publications

An assessment of remote sensing-based drought index over different land cover types in southern Africa

An assessment of remote sensing-based drought index over different land cover types in southern Africa

From static state to dynamic simulation: a delivery-path-oriented approach to quantify ecosystem services and its application to ecological management

Climate variability and drought

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