The use of remote sensing to derive maize sowing dates for large-scale crop yield simulations [PDF]
, 2023 One of the major sources of uncertainty in large-scale crop modeling is the lack of information capturing the spatiotemporal variability of crop sowing dates. Remote sensing can contribute to reducing such uncertainties by providing essential spatial and
Dubovyk, Olena; Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn, Bonn, Germany +11 more
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Remote Sensing and Geoscience Information Systems Applied to Groundwater Research [PDF]
, 2021 As computer and space technologies have developed, geoscience information systems (GIS) and remote sensing (RS) techniques have also been rapidly growing [...
Hyung-Sup Jung, Saro Lee
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Characterizing Uncertainty in Forest Remote Sensing Studies [PDF]
, 2020 This discussion paper addresses (1) the challenge of concisely reporting uncertainties in forest remote sensing (RS) studies, primarily conducted at plot and stand level, and (2) the influence of reference data errors and how corrections for such errors ...
Henrik Jan Persson, Göran Ståhl
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RETRACTED: He et al. The Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China. Remote Sens. 2020, 12, 370 [PDF]
, 2020 The Remote Sensing Editorial Office has been made aware that the published paper [...
Remote Sensing Editorial Office
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Status of Earth Observation and Remote Sensing Applications in Svalbard [PDF]
, 2023 Remarkable developments in the fields of earth observation (EO) satellites and remote sensing (RS) technology over the past four decades have substantially contributed to spatial, spectral, and temporal sampling [...
Jawak, Shridhar D. +38 more
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Artificial Intelligence-Based Learning Approaches for Remote Sensing [PDF]
, 2022 Remote sensing (RS) is a method for understanding the ground and for facilitating human–ground communications [...
Gwanggil Jeon
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Developing the Remote Sensing-Gash Analytical Model for Estimating Vegetation Rainfall Interception at Very High Resolution: A Case Study in the Heihe River Basin [PDF]
, 2017 Accurately quantifying the vegetation rainfall interception at a high resolution is critical for rainfall-runoff modeling and flood forecasting, and is also essential for understanding its further impact on local, regional, and even global water cycle ...
Cui, Yaokui +15 more
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Remote sensing, geographical information system and spatial analysis for schistosomiasis epidemiology and ecology in Africa. [PDF]
, 2009 Beginning in 1970, the potential of remote sensing (RS) techniques, coupled with geographical information systems (GIS), to improve our understanding of the epidemiology and control of schistosomiasis in Africa, has steadily grown. In our current review,
Utzinger, J +19 more
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Evaluation of Remote Sensing-Based Irrigation Water Accounting at River Basin District Management Scale [PDF]
, 2020 The Water Framework Directive in Europe requires extending metering and water abstraction controls to accurately satisfy the necessary water resource requirements.
Irene Arellano +7 more
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Multi-Scale Feature Interaction Network for Remote Sensing Change Detection [PDF]
, 2023 Change detection (CD) is an important remote sensing (RS) data analysis technology. Existing remote sensing change detection (RS-CD) technologies cannot fully consider situations where pixels between bitemporal images do not correspond well on a one-to ...
Yonghong Zhang, Haifeng Lin, Chong Zhang
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