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

被引:5
作者
Quille-Mamani, Javier Alvaro [1 ]
Huayna, German [1 ]
Pino-Vargas, Edwin [1 ]
Chucuya-Mamani, Samuel [1 ]
Vera-Barrios, Bertha [2 ]
Ramos-Fernandez, Lia [3 ]
Espinoza-Molina, Jorge [4 ]
Cabrera-Olivera, Fredy [5 ]
机构
[1] Jorge Basadre Grohmann Natl Univ, Dept Civil Engn, Tacna 23000, Peru
[2] Natl Univ Moquegua, Fac Min Engn, Moquegua 180101, Peru
[3] Univ Nacl Agr La Molina, Dept Water Resources, Lima 15024, Peru
[4] Jorge Basadre Grohmann Natl Univ, Dept Architecture, Tacna 23000, Peru
[5] Jorge Basadre Natl Univ, Dept Geol Engn Geotech, Tacna 2300, Peru
来源
AGRICULTURE-BASEL | 2024年 / 14卷 / 05期
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; SOIL-MOISTURE; PRECIPITATION; IRRIGATION; TACNA;
D O I
10.3390/agriculture14050662
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
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.
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页数:17
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