Rethinking microtidal systems: Tidal signatures in the fluvial deposits of the Po River, Italy
ABSTRACT In microtidally influenced rivers, tides are generally assumed to leave virtually no signatures in the sedimentary record. However, this hypothesis has been surprisingly poorly tested using modern river analogues, which provide an opportunity to assess whether sedimentary signatures of microtidal regimes can develop in rivers that lack ...
Anna E. van Yperen +6 more
wiley +1 more source
Assessing Investment in Future Landsat Instruments: The Example of Forest Carbon Offsets [PDF]
We extend the theory of quality-adjusted expenditure indices to estimate benefits from public investment. In particular, we model the selection of new instruments (in the form of remote-sensing devices) to enhance the longest-operating U.S.
Macauley, Molly K., Shih, Jhih-Shyang
core
Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe +3 more
wiley +1 more source
CONTINUOUS CALIBRATION IMPROVEMENT: LANDSAT 5 THROUGH LANDSAT 8. [PDF]
Mishra N, Helder D, Barsi J, Markham B.
europepmc +1 more source
LANDSAT-4 and LANDSAT-5 Multispectral Scanner Coherent Noise Characterization and Removal [PDF]
A technique is described for characterizing the coherent noise found in LANDSAT-4 and LANDSAT-5 MSS data and a companion technique for filtering out the coherent noise.
Alford, William L., Tilton, James C.
core
Dual‐Branch Network With Enhanced Feature Fusion for Improved Rice Classification Accuracy
ABSTRACT Accurate mapping of rice, one of the world's most important food crops, is critical for monitoring its growth, estimating yields, and supporting global food security. Most deep learning methods for crop classification rely on multi‐temporal optical remote sensing data. However, it is difficult to obtain sufficient ground‐truth samples for time‐
Rongfei Ma +6 more
wiley +1 more source
A Path to Better Science Through Co‐Creation and Open Infrastructure
Abstract Proprietary development solutions are often perceived as being delivered more quickly and easily than open methods, fueling the misconception that they inherently produce better overall outcomes. However, we argue that open development practices can lead to both efficient and maximally impactful outcomes.
Tasha Snow +18 more
wiley +1 more source
Landsat-based woody vegetation cover monitoring in southern African savannahs
Mapping woody cover over large areas can only be effectively achieved using remote sensing data and techniques. The longest continuously operating Earth-observation program, the Landsat series, is now freely-available as an atmospherically corrected ...
K Petroulaki (23998548) +2 more
core +1 more source
Landsat ETM-7 for Lineament Mapping Using Automatic Extraction Technique in the SW Part of Taiz Area, Yemen [PDF]
The application of remote sensing technology may cover many fields of studies especially in structure geology and mineral exploration where the remote sensing is a useful for lineaments and structure features extractions Landsat ETM-7 satellite data ...
anwar abdullah
core

