castillo, santiago villamizar, patrick piñan, diego huaynate, gabriela angulo, antonio
This study focuses on remote sensing and monitoring of asparagus crops in the provinces of Ica and Trujillo, highlighting their importance in global food security. Using satellite images and temperature data, productivity was compared using the NDWI, NDVI, and EVI indices. The Grad-CAM technique was used to analyze the AlexNet Convolutional Neural ...
yener, i̇smet
Accurate and precise prediction of actual evapotranspiration (AET) on a large scale is a fundamental issue in natural sciences such as forestry (especially in species selection and planning), hydrology, and agriculture. With the estimation of AET, controlling dams, agriculture, and irrigation and providing potable and utility water supply for indus...
lee, leeko reynolds, andrew dorin, briann shemrock, adam
Grapevines are subjected to many physiological and environmental stresses that influence their vegetative and reproductive growth. Water stress, cold damage, and pathogen attacks are highly relevant stresses in many grape-growing regions. Precision viticulture can be used to determine and manage the spatial variation in grapevine health within a si...
xia, zhiming liao, kaitao guo, liping wang, bin huang, hongsheng chen, xiulong fang, xiangmin kuiling, zu luo, zhijun shen, faxing
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Vegetation is a fundamental component of terrestrial ecosystems, and accurately assessing the effects of seasonal climate variations, extreme weather events, and land use changes on vegetation dynamics is crucial. The Ganjiang River Basin (GRB), a key region for water conservation and recharge in southeastern China, has experienced significant land...
nan, ma cao, shanshan bai, tao yang, zhihao cai, zhaozhao sun, wei
This study utilizes NASA’s Normalized Difference Vegetation Index (NDVI) data from the Google Earth Engine (GEE) platform and employs methods such as mean analysis, trend analysis, and the Hurst index to assess NDVI dynamics in Xinjiang, with a particular focus on desert, meadow, and grassland vegetation. Furthermore, multiple linear regression, ra...
xue, wenya feng, liping yang, jinxin yong, xu chak, hung luo, renbo menenti, massimo wong, man sing
Vegetation indices, especially the normalized difference vegetation index (NDVI), are widely used in urban vegetation assessments. However, estimating the vegetation abundance in urban scenes using the NDVI has constraints due to the complex spectral signature related to the urban structure, materials and other factors compared to natural ground su...
Everest, Joseph J Van Cleemput, Elisa Beamish, Alison L Spasojevic, Marko J Humphries, Hope C Elmendorf, Sarah C
Chen, Shi Wang, Yuhan Lu, Xi He, Kebin Hao, Jiming
Published in
Environmental Research Letters
The impacts of large-scale solar photovoltaic (PV) power on local vegetation are pivotal in the context of widespread solar deployment for net-zero goals, amid escalating land fragility and use competition. Amid debates over positive or negative effects, a global pattern analysis post the past decade’s PV surge remains absent. This study quantified...
lee, leeko reynolds, andrew dorin, briann shemrock, adam
The primary purpose of this study was to improve our understanding of remote sensing technologies and their potential application in vineyards to monitor yields and fruit composition, which could then be used for selective harvesting and winemaking. For yield and berry composition data collection, representative vines from the vineyard block were s...
fishman, netanel yungstein, yehuda yaakobi, assaf obersteiner, sophie rez, laura mulero, gabriel michael, yaron klein, tamir helman, david
Leaf water potential (ψleaf) is a key indicator of plant water status, but its measurement is labor-intensive and limited in spatial coverage. While remote sensing has emerged as a useful tool for estimating vegetation water status, ψleaf remains unexplored, particularly in mixed forests. Here, we use spectral indices derived from unmanned aerial v...