Ana M. Tarquís
YOU?
Author Swipe
View article: Integrating Remotely Sensed Thermal Observations for Calibration of Process-Based Land-Surface Models: Accuracy, Revisit Windows, and Implications in a Dryland Ecosystem
Integrating Remotely Sensed Thermal Observations for Calibration of Process-Based Land-Surface Models: Accuracy, Revisit Windows, and Implications in a Dryland Ecosystem Open
Understanding land surface fluxes is essential for sustaining dryland ecosystem functioning and services. However, the scarcity of in situ measurements poses a significant challenge to dryland monitoring. Satellite optical and thermal remo…
View article: Impact of data spatial resolution on barley yield prediction mapping
Impact of data spatial resolution on barley yield prediction mapping Open
Data-driven models and remote sensing techniques offer great crop monitoring and yield prediction potential. The choice of spatial resolution plays a key role in model performance, as the resolution of data input influences prediction qual…
View article: Assessing Plant Water Status and Physiological Behaviour Using Multispectral Images from UAV in Merlot Vineyards in Central Spain
Assessing Plant Water Status and Physiological Behaviour Using Multispectral Images from UAV in Merlot Vineyards in Central Spain Open
Water status is a key determinant of physiological performance and vineyard productivity. However, its assessment through field measurements is time-consuming and labour-intensive. Remote sensing offers a fast and reliable alternative to t…
View article: Understanding local connectivity and complexity in the skeleton of deforestation
Understanding local connectivity and complexity in the skeleton of deforestation Open
Current spatial analyses of deforestation predominantly focus on quantification, often overlooking the geometric and topological configurations that are essential for formulating spatially concrete remedial actions. Skeletons and local con…
View article: A Machine Learning Approach to Generate High-Resolution Maps of Irrigated Olive Groves
A Machine Learning Approach to Generate High-Resolution Maps of Irrigated Olive Groves Open
The increasing severity of water scarcity in southern Europe, caused by climate change, requires advanced and more efficient approaches to agricultural water management. In particular, in this paper, we address this problem for olive grove…
View article: HESS Opinions: Towards a common vision for the future of hydrological observatories
HESS Opinions: Towards a common vision for the future of hydrological observatories Open
The Unsolved Problems in Hydrology (UPH) initiative has emphasized the need to establish networks of multi-decadal hydrological observatories to gain a deep understanding of the complex hydrologic processes occurring within diverse environ…
View article: Comment on “Pollination supply models from a local to global scale”: convolutional neural networks can improve pollination supply models at a global scale
Comment on “Pollination supply models from a local to global scale”: convolutional neural networks can improve pollination supply models at a global scale Open
Tools to predict pollinator activity at regional scales generally rely on land cover maps, combined with human-inferred mechanistic rules and/or expert knowledge. Recently, Giménez-García et al. (2023) showed that, using large pollinator d…
View article: Relationship between Vegetation and Soil Moisture Anomalies Based on Remote Sensing Data: A Semiarid Rangeland Case
Relationship between Vegetation and Soil Moisture Anomalies Based on Remote Sensing Data: A Semiarid Rangeland Case Open
The dynamic of rangelands results from complex interactions between vegetation, soil, climate, and human activity. This scenario makes rangeland’s condition challenging to monitor, and degradation assessment should be carefully considered …
View article: Joint multiscale dynamics in soil–vegetation–atmosphere systems: Multifractal cross‐correlation analysis of arid and semiarid rangelands
Joint multiscale dynamics in soil–vegetation–atmosphere systems: Multifractal cross‐correlation analysis of arid and semiarid rangelands Open
Understanding the dynamics of the soil–vegetation–atmosphere (SVA) system, particularly in arid and semiarid regions, remains challenging due to its intricate and interdependent nature. This system creates problems for rangeland administra…
View article: Thermal imaging from UAS for estimating crop water status in a Merlot vineyard in semi-arid conditions
Thermal imaging from UAS for estimating crop water status in a Merlot vineyard in semi-arid conditions Open
Thermal remote sensing indicators of crop water status can help to optimize irrigation across time and space. The Crop Water Stress Index (CWSI), calculated from thermal data, has been widely used in irrigation management as it has a prove…
View article: HESS Opinions: Towards a common vision for the future of hydrological observatories
HESS Opinions: Towards a common vision for the future of hydrological observatories Open
The Unsolved Problems in Hydrology (UPH) initiative has emphasized the need to establish networks of multi-decadal hydrological observatories to tackle catchment-scale challenges on a global scale. The already existing monitoring infrastru…
View article: Application of Unmanned Aerial Vehicle (UAV) Sensing for Water Status Estimation in Vineyards under Different Pruning Strategies
Application of Unmanned Aerial Vehicle (UAV) Sensing for Water Status Estimation in Vineyards under Different Pruning Strategies Open
Pruning determines the plant water status due to its effects on the leaf area and thus the irrigation management. The primary aim of this study was to assess the use of high-resolution multispectral imagery to estimate the plant water stat…
View article: Evaluating the demand for water for agricultural use for adaptation to climate change at the subbasin level (AGUAGRADA)
Evaluating the demand for water for agricultural use for adaptation to climate change at the subbasin level (AGUAGRADA) Open
Given the decrease in water availability for agriculture caused by climate change (CC) in Mediterranean environments, it is necessary to use water efficiently in food production. As stated in the PNACC (National Plan for Adaptation to Clim…
View article: Thermal and multispectral sensors model for determining the water status in a commercial vineyard in semiarid conditions.
Thermal and multispectral sensors model for determining the water status in a commercial vineyard in semiarid conditions. Open
Spain counts roughly 941.000 hectares of vineyards, of which 41% are grown under irrigation systems. Water status is a relevant parameter in grapevines as it affects yield, fruit composition, and wine quality. Water stress reduces photosyn…
View article: Integrating remote sensing and climate data for olive grove classification and yield estimation
Integrating remote sensing and climate data for olive grove classification and yield estimation Open
Keywords: Irrigated agriculture, NDVI, Sentinel-2, Dynamic Time Warping, Machine learningThe agricultural sector confronts escalating challenges amid uncertainties associated with water resources, underscoring the imperative for innovative…
View article: Hydrological parameters modelling in catchments based on a geographical database.
Hydrological parameters modelling in catchments based on a geographical database. Open
The water systems management plays a pivotal role in environmental conservation and disaster mitigation. As climate change intensifies, the ecological interactions of our ecosystems are modified, decreasing biodiversity and increasing extr…
View article: Establishing management zones for irrigation using soil properties and Remote Sensing
Establishing management zones for irrigation using soil properties and Remote Sensing Open
Soil texture influences many other soil attributes, including its physical, chemical, and biological characteristics. Soil texture dictates vital factors such as aeration, nutrient, water availability, and heat retention. These aspects col…
View article: A novel insight into spatio-temporal variability of storm events for modelling hydrological processes at catchment scale based on machine learning
A novel insight into spatio-temporal variability of storm events for modelling hydrological processes at catchment scale based on machine learning Open
Hydrological processes are shaped by complex and distant processes characterised by high spatio-temporal variability. Being the first hydrological process, triggering the remaining ones, precipitation, or more precisely, storm events, have…
View article: Reply on RC2
Reply on RC2 Open
Abstract. The dynamic of rangelands results from complex interactions between vegetation, soil, climate, and human activity. In arid and semiarid areas, rainfall coefficients of variability are over 30 %. This scenario mak…
View article: Reply on CC2
Reply on CC2 Open
Abstract. The dynamic of rangelands results from complex interactions between vegetation, soil, climate, and human activity. In arid and semiarid areas, rainfall coefficients of variability are over 30 %. This scenario mak…
View article: Reply on RC1
Reply on RC1 Open
Abstract. The dynamic of rangelands results from complex interactions between vegetation, soil, climate, and human activity. In arid and semiarid areas, rainfall coefficients of variability are over 30 %. This scenario mak…
View article: Reply on CC1
Reply on CC1 Open
Abstract. The dynamic of rangelands results from complex interactions between vegetation, soil, climate, and human activity. In arid and semiarid areas, rainfall coefficients of variability are over 30 %. This scenario mak…
View article: Reply on CC1
Reply on CC1 Open
Abstract. The dynamic of rangelands results from complex interactions between vegetation, soil, climate, and human activity. In arid and semiarid areas, rainfall coefficients of variability are over 30 %. This scenario mak…
View article: Reply on CC1
Reply on CC1 Open
Abstract. The dynamic of rangelands results from complex interactions between vegetation, soil, climate, and human activity. In arid and semiarid areas, rainfall coefficients of variability are over 30 %. This scenario mak…
View article: Soil Organic Carbon Detection in 3d Ct Samples Using Dual Segmentation
Soil Organic Carbon Detection in 3d Ct Samples Using Dual Segmentation Open
View article: Estimating Soil Hydraulic Properties of Salt-Affected Agricultural Fields in Arid and Semi-Arid Environments Under Different Initial Wetting Conditions Due to Irrigation
Estimating Soil Hydraulic Properties of Salt-Affected Agricultural Fields in Arid and Semi-Arid Environments Under Different Initial Wetting Conditions Due to Irrigation Open
View article: Net CO2 assimilation rate response of tomato seedlings (Solanum lycopersicum L.) to the interaction between light intensity, spectrum and ambient CO2 concentration
Net CO2 assimilation rate response of tomato seedlings (Solanum lycopersicum L.) to the interaction between light intensity, spectrum and ambient CO2 concentration Open
Artificial lighting is complementary and single-source lighting for controlled Environment Agriculture (CEA) to increase crop productivity. Installations to control CO 2 levels and luminaires with variable spectrum and intensity are becomi…
View article: Comment on nhess-2023-145
Comment on nhess-2023-145 Open
Abstract. The dynamic of rangelands results from complex interactions between vegetation, soil, climate, and human activity. In arid and semiarid areas, rainfall coefficients of variability are over 30 %. This scenario mak…
View article: Comment on nhess-2023-145
Comment on nhess-2023-145 Open
Abstract. The dynamic of rangelands results from complex interactions between vegetation, soil, climate, and human activity. In arid and semiarid areas, rainfall coefficients of variability are over 30 %. This scenario mak…
View article: Quantifying Soil Complexity Using Fisher Shannon Method on 3D X-ray Computed Tomography Scans
Quantifying Soil Complexity Using Fisher Shannon Method on 3D X-ray Computed Tomography Scans Open
The conversion of native forest into agricultural land, which is common in many parts of the world, poses important questions regarding soil degradation, demanding further efforts to better understand the effect of land use change on soil …