Nilda Sanchez

Assistant Professor

Universidad de Salamanca

Spain

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Dr. Nilda Sanchez is an Assistant Professor at Universidad de Salamanca in Spain. Her research focuses on the application of remote sensing and GPS technology in agricultural and ecological studies, including the behavior and habitat dynamics of various species. Recent publications highlight her work on forage yield estimation and monitoring the spatial behavior of livestock using advanced imaging techniques.

Articles (10)

Year:

2025

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2025

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2024

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2024

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2023

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2022

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2022

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2022

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2021

Year:

2021

Collaborators (8)

Marco Criado

Universidad de Salamanca

SPAIN

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Carlos Palacios

Profesor Titular de Universidad

Universidad de Salamanca

SPAIN

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María Remedios Morales-Corts

Universidad de Salamanca

SPAIN

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Rubén Valcarce-Diñeiro

Lecturer in Geospatial and Earth Observation

University of Hull

UNITED KINGDOM

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Javier Plaza Martín

Associate Professor in Animal Production

Universidad de Salamanca

SPAIN

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M. Teresa Santos Martín

Profesora Titular de Universidad

Universidad de Salamanca

SPAIN

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M. Ángeles Gómez-Sánchez

PROFESOR

University of Salamanca

SPAIN

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Rodrigo Pérez-Sánchez

Universidad de Salamanca

SPAIN

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Nilda Sanchez

Research Interests

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About

Articles (10)

Characterizing grazing and terrain use patterns of Hispano‐Breton mares in the Spanish Pyrenees using GPS devices and remote sensing data

Estimation of Forage Yield Using the Second Derivative of Normalized Difference Vegetation Index Time Series From Sentinel‐2

Analyzing the spatiotemporal habitat colonization dynamics of the common vole (Microtus arvalis Pallas) in Castilla y León, northwest Spain, using a hotspot‐based approach†

Exploring the influence of density‐dependence and weather on the spatial and temporal variation in common vole (Microtus arvalis) abundance in Castilla y León, NW Spain

The Second Derivative of the NDVI Time Series as an Estimator of Fresh Biomass: A Case Study of Eight Forage Associations Monitored via UAS

Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field

Time Series of Quad-Pol C-Band Synthetic Aperture Radar for the Forecasting of Crop Biophysical Variables of Barley Fields Using Statistical Techniques

GPS, LiDAR and VNIR data to monitor the spatial behavior of grazing sheep

UAV Multispectral Imaging Potential to Monitor and Predict Agronomic Characteristics of Different Forage Associations

Fusion of Multi-Temporal PAZ and Sentinel-1 Data for Crop Classification

Collaborators (8)

Marco Criado

Carlos Palacios

María Remedios Morales-Corts

Rubén Valcarce-Diñeiro

Javier Plaza Martín

M. Teresa Santos Martín

M. Ángeles Gómez-Sánchez

Rodrigo Pérez-Sánchez

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