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Assessing Crop Water Stress Index of Citrus Using In-Situ Measurements, Landsat, and Sentinel-2 Data

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TLDR
With the advent of optical sensors, thermal-based indicators can be retrieved at multiscale levels from handheld devices to satellite platforms, providing a low-cost method to mirror plant water as mentioned in this paper.
Abstract
With the advent of optical sensors, thermal-based indicators can be retrieved at multiscale levels from handheld devices to satellite platforms, providing a low-cost method to mirror plant water st...

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Journal ArticleDOI

Isohydricity of Two Different Citrus Species under Deficit Irrigation and Reclaimed Water Conditions

TL;DR: In this article, the effects of diurnal changes in the evaporative demands and soil water contents on the plant physiology of grapefruit and mandarin crops under saline reclaimed (RW) and transfer (TW) water conditions, combined with two irrigation strategies, were evaluated.
Journal ArticleDOI

Mapping Grassland Classes Using Unmanned Aerial Vehicle and MODIS NDVI Data for Temperate Grassland in Inner Mongolia, China

TL;DR: In this paper , a large amount of field observations (more than 30,000 aerial photos) were obtained using unmanned aerial vehicle photography in Inner Mongolia, China, during the peak period of grassland growth in 2018 and 2019.
Journal ArticleDOI

A Fast Regression-Based Approach to Map Water Status of Pomegranate Orchards with Sentinel 2 Data

TL;DR: In this article , a pressure chamber was used to collect stem measurements on four days in summer 2021, with the aim of testing the effectiveness of remotely sensed imagery in estimating and mapping the stem of pomegranate plants.
Journal ArticleDOI

Assessment of peach trees water status and leaf gas exchange using on-the-ground versus airborne-based thermal imagery

TL;DR: In this paper , the authors compared the Crop Water Stress Index (CWSI) of a peach orchard obtained using on-the-ground, and airborne-based canopy temperature (Tc).
References
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Journal ArticleDOI

A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation

TL;DR: The Surface Energy Balance Algorithm for Land (SEBAL) as mentioned in this paper estimates the spatial variation of most essential hydro-meteorological parameters empirically, and requires only field information on short wave atmospheric transmittance, surface temperature and vegetation height.
Journal ArticleDOI

Canopy temperature as a crop water stress indicator

TL;DR: In this paper, a crop water stress index (CWSI) was calculated using infrared thermometry, along with wet and dry-bulb air temperatures and an estimate of net radiation.
Journal ArticleDOI

Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model

TL;DR: METRIC uses as its foundation the pioneering SEBAL energy balance process developed in The Netherlands by Bastiaanssen, where the near-surface temperature gradients are an indexed function of radiometric surface temperature, thereby eliminating the need for absolutely accurate surface temperature and theneed for air-temperature measurements.
Journal ArticleDOI

Significant remote sensing vegetation indices: A review of developments and applications

TL;DR: The spectral characteristics of vegetation are introduced and the development of VIs are summarized, discussing their specific applicability and representativeness according to the vegetation of interest, environment, and implementation precision.
Journal ArticleDOI

Normalizing the stress-degree-day parameter for environmental variability☆

TL;DR: In this paper, several experiments involving the measurement of foliage-air temperature differentials (TF-TA) and air vapor pressure deficits (VPD) were conducted on squash, alfalfa, and soybean crops at Tempe and Mesa, Arizona; Manhattan, Kansas; Lincoln, Nebraska; St Paul, Minnesota; and Fargo, North Dakota.
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