Advances in Remote Sensing

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org
"Remote Sensing Derived Phenological Metrics to Assess the Spatio-Temporal Growth Variability in Cropping Fields"
written by Sofanit Araya, Bertram Ostendorf, Greg Lyle, Megan Lewis,
published by Advances in Remote Sensing, Vol.6 No.3, 2017
has been cited by the following article(s):
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[1] Evaluation of the Normalized Differential Vegetation Index as a Source of Information on Aboveground Phytomass in Steppes
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[2] Оценка индекса NDVI как источника информации о надземной фитомассе в степях
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[3] Evaluation of the NDVI Index as a Source of Information on Aboveground Phytomass in Steppes
Issledovanie Zemli iz …, 2023
[4] EFFECTS OF LANDSCAPE STRUCTURE AND BIOCLIMATIC VARIABLES ON POLLINATORS IN AVOCADO PRODUCTION SYSTEMS IN MURANG'A …
2022
[5] Spatial and temporal biomass and growth for grain crops using NDVI Time Series
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[6] Early Prediction of Coffee Yield in the Central Highlands of Vietnam Using a Statistical Approach and Satellite Remote Sensing Vegetation Biophysical Variables
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[7] Estimación de biomasa y rendimiento utilizando métricas fenológicas de imágenes Sentinel-2 en el cultivo de arroz: Caso de estudio Perú
Mamani, LA Ruiz, 2022
[8] Spatially weighted estimation of broadacre crop growth improves gap-filling of Landsat NDVI
2021
[9] Exploring the Drivers of Sentinel-2-Derived Crop Phenology: The Joint Role of Climate, Soil, and Land Use
2021
[10] Long-Term Hindcasts of Wheat Yield in Fields Using Remotely Sensed Phenology, Climate Data and Machine Learning
2021
[11] Пространственная структура как фактор стабильности биопродукционного функционирования степных геосистем (на примере Айтуарской степи …
Принципы экологии, 2020
[12] Real-Time Monitoring of Crop Phenology in the Midwestern United States Using VIIRS Observations
Remote Sensing, 2018
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