干旱区生态环境知识资源中心(Arid): Spatio-Temporal Evolution of Olive Tree Water Status Using Land Surface Temperature and Vegetation Indices Derived from Landsat 5 and 8 Satellite Imagery in Southern Peru

Arid

DOI	10.3390/agriculture14050662
	Spatio-Temporal Evolution of Olive Tree Water Status Using Land Surface Temperature and Vegetation Indices Derived from Landsat 5 and 8 Satellite Imagery in Southern Peru
	Quille-Mamani, Javier Alvaro; Huayna, German; Pino-Vargas, Edwin; Chucuya-Mamani, Samuel; Vera-Barrios, Bertha; Ramos-Fernandez, Lia; Espinoza-Molina, Jorge; Cabrera-Olivera, Fredy
通讯作者	Pino-Vargas, E
来源期刊	AGRICULTURE-BASEL
EISSN	2077-0472
出版年	2024
卷号	14 期号:5
英文摘要	Land surface temperature (LST) and its relationship with vegetation indices (VIs) have proven to be effective for monitoring water stress in large-scale crops. Therefore, the objective of this study is to find an appropriate VI to analyse the spatio-temporal evolution of olive water stress using LST images and VIs derived from Landsat 5 and 8 satellites in the semi-arid region of southern Peru. For this purpose, VIs (Normalised Difference Vegetation Index (NDVI), Enhanced Vegetation Index 2 (EVI2) and Soil Adjusted Vegetation Index (SAVI)) and LST were calculated. The information was processed in Google Earth Engine (GEE) for the period 1985 to 2024, with an interval of every five years for the summer season. The triangle method was applied based on the LST-VIs scatterplot analysis, a tool that establishes wet and dry boundary conditions for the Temperature Vegetation Dryness Index (TVDI). The results indicated a better appreciation of olive orchard water stress over time, with an average of 39% drought (TVDINDVI and TVDISAVI), 24% severe drought (TVDINDVI) and 25% (TVDISAVI) of the total area, compared to TVDIEVI2, which showed 37% drought and 16% severe drought. It is concluded that TVDINDVI and TVDISAVI provide a better visualisation of the water stress map of the olive crop and offer a range of options to address current and future problems in water resource management in the olive sector in semi-arid areas of southern Peru.
英文关键词	temperature vegetation dryness index normalized difference vegetation index soil adjusted vegetation index Enhanced Vegetation Index 2 Google Earth engine semi-arid regions
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001232418100001
WOS关键词	SOIL-MOISTURE ; PRECIPITATION ; IRRIGATION ; TACNA
WOS类目	Agronomy
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/402715
推荐引用方式 GB/T 7714	Quille-Mamani, Javier Alvaro,Huayna, German,Pino-Vargas, Edwin,et al. Spatio-Temporal Evolution of Olive Tree Water Status Using Land Surface Temperature and Vegetation Indices Derived from Landsat 5 and 8 Satellite Imagery in Southern Peru[J],2024,14(5).
APA	Quille-Mamani, Javier Alvaro.,Huayna, German.,Pino-Vargas, Edwin.,Chucuya-Mamani, Samuel.,Vera-Barrios, Bertha.,...&Cabrera-Olivera, Fredy.(2024).Spatio-Temporal Evolution of Olive Tree Water Status Using Land Surface Temperature and Vegetation Indices Derived from Landsat 5 and 8 Satellite Imagery in Southern Peru.AGRICULTURE-BASEL,14(5).
MLA	Quille-Mamani, Javier Alvaro,et al."Spatio-Temporal Evolution of Olive Tree Water Status Using Land Surface Temperature and Vegetation Indices Derived from Landsat 5 and 8 Satellite Imagery in Southern Peru".AGRICULTURE-BASEL 14.5(2024).