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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

Estimation of evapotranspiration and crop coefficient of drip-irrigated orange trees under a semi-arid climate

TL;DR: In this paper, the water requirement of mature orange trees (Citrus sinensis (L) Osbeck, cv Tarocco Ippolito) by identifying standard evapotranspiration rate and crop coefficients (single and dual) was investigated.
Journal ArticleDOI

Self-organizing map estimator for the crop water stress index

TL;DR: A self-organizing map (SOM) based model to predict the CWSI using microclimatic variables, namely air temperature, canopy temperature and relative humidity, indicated that the presence of zero CWSI values in a significant proportion in the dataset impacted the model prediction performance at low CWSI.
Journal ArticleDOI

Estimation of Maize Foliar Temperature and Stomatal Conductance as Indicators of Water Stress Based on Optical and Thermal Imagery Acquired Using an Unmanned Aerial Vehicle (UAV) Platform

TL;DR: In this paper , the authors evaluated the utility of optical and thermal infrared UAV imagery, in combination with a random forest machine-learning algorithm, to estimate the maize foliar temperature and stomatal conductance as indicators of potential crop water stress and moisture content over the entire phenological cycle.
Journal ArticleDOI

A Methodology for CO2 Retrieval Applied to Hyperspectral PRISMA Data

TL;DR: In this article, the authors developed and tested a simple methodology for CO2 emission retrieval applied to hyperspectral PRISMA data, which was applied to two test cases relating to the LUSI volcanic area and the Solfatara area in the caldera of Campi Flegrei (Italy).
Journal ArticleDOI

Simulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica

TL;DR: In this article, a random forest model was developed using sample data derived from meteorological measurements including air temperature, relative humidity, wind speed, and photosynthetic active radiation (Par) to predict the lower baseline (Twet) and upper baseline (Tdry) canopy temperatures for Chinese Brassica from 27 November to 31 December 2020 (E1) and from 25 May to 20 June 2021 (E2).
References
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Journal ArticleDOI

Wheat canopy temperature: A practical tool for evaluating water requirements

TL;DR: In this paper, the authors used a sliding cubic smoothing technique to calculate daily water contents and thus water depletion rates for the entire growing season and used this to predict water use by wheat in six differentially irrigated plots.
Journal ArticleDOI

Upscaling sparse ground‐based soil moisture observations for the validation of coarse‐resolution satellite soil moisture products

TL;DR: In this paper, the authors describe the magnitude of the soil moisture upscaling problem and measurement density requirements for ground-based soil moisture networks, and summarize a number of existing soil moisture-upscaling strategies which may reduce the detrimental impact of spatial sampling errors on the reliability of satellite soil moisture validation using spatially sparse ground based observations.
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Stomatal control of photosynthesis and transpiration

TL;DR: This paper first reviews the main methods available for quantifying the control exerted by stomata over transpiration and photosynthesis in the absence of feedbacks between gas-exchange and stomatal function, and uses very simple models to investigate the role ofStomata in the control of gas exchange in the presence of hydraulic feedbacks.
Journal ArticleDOI

Non-water-stressed baselines: A key to measuring and interpreting plant water stress

TL;DR: In this paper, a plant water stress index has been developed which employs a radiometric measurement of foliage temperature and a psychometric measure of the vapor pressure deficit of the air for 26 different species for clear sky conditions.
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