Access the datasets and tools you need to make the most of soil water holding capacity research.
Soil Water Holding Capacity Data Access and Tools
Soil Water Holding Capacity Datasets
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| Arctic Vegetation Plots at Toolik Lake, Alaska, 1989 | 1 | FIELD INVESTIGATION, FIELD SURVEYS, LABORATORY | PROBES, SOIL SAMPLER | 1989-08-01 to 1989-08-24 |
N: 68.643 S: 68.6228 E: -149.587 W: -149.651 |
CSV | |
| BOREAS HYD-01 Soil Hydraulic Properties | 1 | FIELD INVESTIGATION | VISUAL OBSERVATIONS, TENSION INFILTROMETER | 1994-01-01 to 1994-12-31 |
N: 55.93 S: 53.63 E: -98.29 W: -106.2 |
ASCII | |
| Global Distribution of Plant-Extractable Water Capacity of Soil (Dunne) | 1 | NOT APPLICABLE | NOT APPLICABLE | 1996-01-01 to 1996-12-31 |
N: 90 S: -90 E: 180 W: -180 |
multiple | |
| Global Gridded Surfaces of Selected Soil Characteristics (IGBP-DIS) | 1 | NOT APPLICABLE | NOT APPLICABLE | 1950-01-01 to 1996-12-31 |
N: 90 S: -90 E: 180 W: -180 |
ASCII Grid | |
| Global Soil Data Products CD-ROM Contents (IGBP-DIS) | 1 | NOT APPLICABLE | NOT APPLICABLE | 1995-01-01 to 1996-12-31 |
N: 90 S: -90 E: 180 W: -180 |
Binary | |
| Global Soil Texture and Derived Water-Holding Capacities (Webb et al.) | 1 | NOT APPLICABLE | NOT APPLICABLE | 1950-01-01 to 1996-12-31 |
N: 90 S: -90 E: 180 W: -180 |
multiple | |
| LINKAGES: An Individual-based Forest Ecosystem Biogeochemistry Model | 1 | METEOROLOGICAL STATIONS | THERMOMETERS, RAIN GAUGES | 1973-01-01 to 2008-12-31 |
N: 90 S: -90 E: 180 W: -180 |
multiple | |
| SAFARI 2000 Selected Soil Characteristics, 10-km Grid (IGBP-DIS) | 1 | NOT APPLICABLE | NOT APPLICABLE | 1995-01-01 to 1996-12-31 |
N: 5 S: -35 E: 60 W: -5 |
ASCII |
Featured Soil Water Holding Capacity Observation Method: SMAP
NASA's Soil Moisture Active-Passive (SMAP) platform measures surface soil conditions everywhere on Earth every two to three days. These data are used to produce global maps of soil moisture, enabling improvements in weather, flood, and drought forecasts, and predictions of agricultural productivity and climate.
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