The Use of Landsat 8 and Sentinel-2 Data and Meterological Observations for Winter Wheat Yield Assessment [PDF]
This study focuses on winter wheat yield assessment from NASA's Harmonized Landsat Sentinel-2 (HLS) product and meteorological observations through phenological fitting.
Franch, B. +5 more
core +1 more source
ABSTRACT Clarifying the relationship between the supply and demand of recreation service not only enhances our comprehension of how cultural ecosystem services impact human well‐being, but also offers a theoretical foundation and scientific basis for developing regional landscape management strategies.
Xinyu Huang +5 more
wiley +1 more source
Using Sentinel 2A and Landsat 8 imagery to assess changes in forest carbon storage. [PDF]
Li B +7 more
europepmc +1 more source
Abstract The lack of direct observations for flood regulation capacity largely compromises our objective assessment of a basin's flood mitigation strategies in confronting global change. This study proposes a novel Precipitation‐Inundation Paired Events (PIPE) extraction frame‐work, which employs 3D clustering analyses of precipitation paired up with ...
Junwei Su +6 more
wiley +1 more source
Enhanced Cropland SOM Prediction via LEW-DWT Fusion of Multi-Temporal Landsat 8 Images and Time-Series NDVI Features. [PDF]
Ning L +6 more
europepmc +1 more source
A Comparative Analysis of Retrieval Algorithms of Land Surface Temperature from Landsat-8 Data: A Case Study of Shanghai, China. [PDF]
Jiang Y, Lin W.
europepmc +1 more source
Rapid Land Surface Uplift and Groundwater Recovery Observed During the Syrian War
Abstract Recent geopolitical upheaval in Syria is driving regional growth by returning populations, which increases demands on water resources. In northwest Syria, widespread cropland abandonment during the Syrian War starting in 2011 drastically changed the hydrological regime of the region.
Saeed Mhanna +5 more
wiley +1 more source
A Global Multi-Sensor Dataset of Surface Water Indices from Landsat-8 and Sentinel-2 Satellite Measurements. [PDF]
Miura Y +3 more
europepmc +1 more source
Operational Near Real Time Global Riverine Sediment Flux Estimates From Space
Abstract We present global estimates of riverine sediment flux derived from an open‐source suite of algorithms using the Harmonized Landsat Sentinel (HLS) and discharge products. We estimated Sediment Concentration (suspended sediment concentration [SSC]) via neural networks, trained and tested on matchups of in situ and HLS data, obtaining a median ...
L. V. Lucchese +8 more
wiley +1 more source
Improved early-stage crop classification using a novel fusion-based machine learning approach with Sentinel-2A and Landsat 8-9 data. [PDF]
Jamil MD +10 more
europepmc +1 more source

