Processing and gridding spatial data, machine-learning style www.fatiando.org/verde Topics python machine-learning interpolation geospatial geoscience python3 geophysics scipy earth-science scipy-stack fatiando-a-terra Resources Readme License BSD-3-Clause license Code of conduct Code of conduct ...
(2) How does the accuracy change with the temporal resolution of the input data? (3) For a comparison of the classification ability of temporal information and spatial information, can we reach the best classification performance by using one type of input (images with high spatial resolution ...
In this study, MODIS L1B data were used primarily to extract the water surface and algal bloom areas for Dongting Lake, while 30-m-resolution Landsat 7 ETM+ data were used to validate the MODIS observations. MODIS data acquired by both the Terra satellite and the Aqua satellite over the pe...
However, little research has been done to analyze the economic difference of western China with the latest panel data, and to recognize the top impact factors not only at the theoretical level but also at the policy implementation level. Thus, there is a need of identifying the influencing ...
Since the half space transient electromagnetic field theory is relatively mature, most commercial software adopts the half space inversion to explore underground water and minerals with low resistivity, such as EMIT MAXWELL, Terra TEM and TEMINT [12,13,14]. However, the inversion results are quite...
, to further reveal the spatial distribution characteristics and multiple factors influencing the AOD in this study, we selected ten urban agglomerations with high urbanization and economic development levels in China based on the Multi-Angle Implementation of Atmospheric Correction (MAIAC) AOD data. ...
The SEE, defined as the ratio of actual to potential evaporation, can be derived either using microwave SM data or using optical data. Through its link with SEE, evaporation is the physical process that allows a link at multiple resolutions between the microwave SM and optical data. In ...
Demattê, J.; Morgan, C.; Chabrillat, S.; Rizzo, R.; Franceschini, M.; da Silva Terra, F.; Vasques, G.; Wetterlind, J. Spectral Sensing from Ground to Space in Soil Science: State of the Art, Applications, Potential, and Perspectives. In Land Resources Monitoring, Modeling, and ...
So, in the present study, we gathered data on species and functional diversity and asked three questions: Do SD–FD relationships (i.e., relationships between species richness and functional richness, species evenness and functional evenness, and Shannon’s species diversity and Rao’s functional ...
The input data includes statistical population data at county level, MODIS/Terra Surface Reflectance 8-Day L3 Global 500 m SIN Grid, and ancillary data such as administrative boundary maps. All data layers are stored in the attribute and spatial databases. Figure 2. Data process flow of SPUS....