High-Throughput Phenotyping of Canopy Cover and Senescence in Maize Field Trials Using Aerial Digital Canopy Imaging [0.03%]
基于空中数字冠层成像的玉米育种试验冠层覆盖度和衰老的高通量表型分析方法
Richard Makanza,Mainassara Zaman-Allah,Jill E Cairns et al.
Richard Makanza et al.
In the crop breeding process, the use of data collection methods that allow reliable assessment of crop adaptation traits, faster and cheaper than those currently in use, can significantly improve resource use efficiency by reducing selecti...
Watershed Modeling with Remotely Sensed Big Data: MODIS Leaf Area Index Improves Hydrology and Water Quality Predictions [0.03%]
基于遥感大数据的流域模型研究：MODIS叶面积指数改善径流和水质模拟能力
Adnan Rajib,I Luk Kim,Heather E Golden et al.
Adnan Rajib et al.
Traditional watershed modeling often overlooks the role of vegetation dynamics. There is also little quantitative evidence to suggest that increased physical realism of vegetation dynamics in process-based models improves hydrology and wate...
Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993-2017) [0.03%]
基于陆地卫星数据（1993-2017）的美国中西部水域缓冲带的土地覆盖变化研究
Tedros M Berhane,Charles R Lane,Samson G Mengistu et al.
Tedros M Berhane et al.
To understand the timing, extent, and magnitude of land use/land cover (LULC) change in buffer areas surrounding Midwestern US waters, we analyzed the full imagery archive (1982-2017) of three Landsat footprints covering ~100,000 km2. The s...
A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain [0.03%]
一种基于卫星的时空机器学习模型，在英国全境重建细颗粒物逐日浓度分布
Rochelle Schneider,Ana M Vicedo-Cabrera,Francesco Sera et al.
Rochelle Schneider et al.
Epidemiological studies on the health effects of air pollution usually rely on measurements from fixed ground monitors, which provide limited spatio-temporal coverage. Data from satellites, reanalysis, and chemical transport models offer ad...
The Influence of Region of Interest Heterogeneity on Classification Accuracy in Wetland Systems [0.03%]
兴趣区域异质性对湿地系统分类精度的影响
Tedros M Berhane,Hugo Costa,Charles R Lane et al.
Tedros M Berhane et al.
Classifying and mapping natural systems such as wetlands using remote sensing frequently relies on data derived from regions of interest (ROIs), often acquired during field campaigns. ROIs tend to be heterogeneous in complex systems with a ...
A Multilayer Surface Temperature, Surface Albedo and Water Vapor Product of Greenland from MODIS [0.03%]
来自MODIS的格陵兰多层地表温度，地表反照率和水汽产品
Dorothy K Hall,Richard I Cullather,Nicolo E DiGirolamo et al.
Dorothy K Hall et al.
A multilayer, daily ice-surface temperature (IST)-albedo-water vapor product of Greenland, extending from March 2000 through December 2016, has been developed using standard MODerate-resolution Imaging Spectroradiometer (MODIS) data product...
Longitudinal, lateral, vertical and temporal thermal heterogeneity in a large impounded river: implications for cold-water refuges [0.03%]
大型水库河流的纵向、横向、垂向和时间温度异质性：对冷水庇护所的影响
F H Mejia,C E Torgersen,E K Berntsen et al.
F H Mejia et al.
Dam operations can affect mixing of the water column thereby influencing thermal heterogeneity spatially and temporally. This occurs by restricting or eliminating connectivity in longitudinal, lateral, vertical and temporal dimensions. We e...
US EPA EnviroAtlas Meter-Scale Urban Land Cover (MULC): 1-m Pixel Land Cover Class Definitions and Guidance [0.03%]
美国环保署EnviroAtlas米尺度城市土地覆盖(MULC)：1米像素土地覆盖分类定义和指南
Andrew Pilant,Keith Endres,Daniel Rosenbaum et al.
Andrew Pilant et al.
This article defines the land cover classes used in Meter-scale Urban Land Cover (MULC), a unique, high resolution (one meter2 per pixel) land cover dataset developed for 30 US communities for the United States Environmental Protection Agen...
Assessment of S-NPP VIIRS On-orbit Radiometric Calibration and Performance [0.03%]
S-NPP VIIRS 星上辐射定标与性能评估
Xiaoxiong Xiong,James Butler,Kwofu Chiang et al.
Xiaoxiong Xiong et al.
The VIIRS instrument on board the S-NPP spacecraft has successfully operated for more than four years since its launch in October, 2011. Many VIIRS environmental data records (EDR) have been continuously generated from its sensor data recor...
Validation of Automatically Generated Global and Regional Cropland Data Sets: The Case of Tanzania [0.03%]
基于坦桑尼亚情况的全球和区域自动农耕数据集的有效性验证
Juan Carlos Laso Bayas,Linda See,Christoph Perger et al.
Juan Carlos Laso Bayas et al.
There is a need to validate existing global cropland maps since they are used for different purposes including agricultural monitoring and assessment. In this paper we validate three recent global products (ESA-CCI, GlobeLand30, FROM-GC) an...