CR-Dos: La Selva T2
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Tower_team: | |
PI: | Ulli Seibt useibt@ucla.edu - University California Los Angeles |
FluxContact: | Diego Dierick diego_dierick@yahoo.com - Organization for Tropical Studies (OTS) |
DataManager: | Sol Cooperdock cooperdock@atmos.ucla.edu - University California Los Angeles |
Lat, Long: | 10.4322, -84.0106 |
Elevation(m): | 40 |
Network Affiliations: | AmeriFlux |
Vegetation IGBP: | EBF (Evergreen Broadleaf Forests: Lands dominated by woody vegetation with a percent cover >60% and height exceeding 2 meters. Almost all trees and shrubs remain green year round. Canopy is never without green foliage.) |
Climate Koeppen: | Af (Tropical rain forest) |
Mean Annual Temp (°C): | 25.8 |
Mean Annual Precip. (mm): | 4200 |
Flux Species Measured: | CO2, H, H2O |
Years Data Collected: | 2022 - Present |
Years Data Available: | No data available |
Data Use Policy: | AmeriFlux Legacy Policy |
Description: | Old growth humid tropical rainforest. Site was occupied by Native Americans since 3000 B.P. practicing shifting cultivation. Charcoal dating indicate fires ... Old growth humid tropical rainforest. Site was occupied by Native Americans since 3000 B.P. practicing shifting cultivation. Charcoal dating indicate fires 2400 B.P. and 1100 B.P. Patches of secondary forest after pasture/cocoa production. See MoreShow Less |
URL: | — |
Research Topics: | Carbon, water, and energy exchange of tropical rainforest |
Acknowledgment: | — |




CR-Dos: La Selva T2
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
Use the information below for citation of this site. See the Data Policy page for more details.
DOI(s) for citing CR-Dos data
Data Use Policy: AmeriFlux Legacy Policy
- No DOIs available for CR-Dos
To cite BADM downloaded as a BIF file, use the publications listed below.
Publication(s) for citing site characterization
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Acknowledgments
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Resources
- AmeriFlux Logos & Acknowledgments
CR-Dos: La Selva T2
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM

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CR-Dos: La Selva T2
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
AmeriFlux Images | Add Image |
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CR-Dos: La Selva T2
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
MODIS NDVI
The time series shows the 16-day Normalized Difference Vegetation Index (NDVI) average from the MOD13Q1 data product.
Use the slider below the time series to zoom in and out.
To view / download these data and other MOD13Q1 products for this site, visit MODIS/Terra Vegetation Indices.
For other related products, visit MODIS/VIIRS Fixed Sites Subsets Tool.
Citation:
ORNL DAAC. 2018. Terrestrial Ecology Subsetting & Visualization Services (TESViS) Fixed Sites Subsets. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1567
MODIS NDVI subsetted data is not yet available for this site.
For a complete list of AmeriFlux sites, visit ORNL DAAC's MODIS/VIIRS Fixed Sites Subsets Tool.
PhenoCam Images and Derived Time Series Data
PhenoCams are high-resolution digital cameras that take repeated images of studied ecosystems and provide quantitative information about the canopy phenology. The PhenoCam Network coordinates the camera installation and data reporting/analyses across sites in the Americas, providing automated, near-surface remote sensing of canopy phenology across a range of ecosystems and climate zones. Use of PhenoCam images / data should follow the PhenoCam Data Use Policy .
No PhenoCam data for this siteGeoNEX Data Products
GeoNEX led by NASA Earth eXchange (NEX) is a collaborative effort for generating Earth monitoring products from the new generation of geostationary satellite sensors. GeoNEX has produced a suite of geostationary data products including surface reflectance, land surface temperature, surface solar radiation, and many others.
The GeoNEX Common Grid locates GeoNEX data in the geographic (latitude/longitude) projection. Pixels (grid cells) are created at regular 0.005°, 0.01°, and 0.02° resolutions.
GeoNEX pixels below cover the area 0.06° x 0.06° around and including site CR-Dos, 10.4322, -84.0106.
Click a square in the grid at left to display its data below.
Coordinates for selected GeoNEX Pixel
Lat: 10.4500 Long: -84.0400
CR-Dos
Graph controls:
- Zoom: click-drag
- Pan: shift-click-drag
- Restore zoom level: double-click
- Use the slider below the time series to zoom in and out.
All download requests will be logged.
NDVI: Normalized Difference Vegetation Index
Resolution: 0.01° x 0.01° & 10 minutes
Coordinates for pixel: Lat: 10.4500 Long: -84.0400
NIRv Near-Infrared Reflectance of vegetation
Resolution: 0.01° x 0.01° & 10 minutes
Coordinates for pixel: Lat: 10.4500 Long: -84.0400
DSR: Surface downward shortwave radiation
Resolution: 0.01° x 0.01° & Hourly
Coordinates for pixel: Lat: 10.4500 Long: -84.0400
LST: Land Surface Temperature
Resolution: 0.02° x 0.02° & Hourly
Coordinates for pixel: Lat: 10.4400 Long: -84.0400
Citation
This material can be used without obtaining permission from NASA. NASA should be acknowledged as the source of this material.
Subset Data Citation:
- Hashimoto, H., Wang, W., Park, T., Khajehei, S., Ichii, K., Michaelis, A.R., Guzman, A., Nemani, R.R., Torn, M., Yi, K., Brosnan, I.G. (in preparation). Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles.
Relevant Science Publication Citation:
GeoNEX Surface Reflectance for Vegetation Indices (NDVI & NIRv)- Wang, W., Wang, Y., Lyapustin, A., Hashimoto, H., Park, T., Michaelis, A., & Nemani, R. (2022). A novel atmospheric correction algorithm to exploit the diurnal variability in hypertemporal geostationary observations. Remote Sensing, 14(4), 964.
- Li, R., Wang, D., Wang, W., & Nemani, R. (2023). A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation. Earth System Science Data, 15(3), 1419-1436.
- Jia, A., Liang, S., & Wang, D. (2022). Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data. Remote Sensing of Environment, 278, 113105.
CR-Dos: La Selva T2
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
AmeriFlux Publications | Add Publication |
CR-Dos: La Selva T2
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
BADM for This Site
Access the Biological, Ancillary, Disturbance and Metadata (BADM) information and data for this site.
BADM contain information for many uses, such as characterizing a site’s vegetation and soil, describing disturbance history, and defining instrumentation for flux processing. They complement the flux/met data.
- Download BADM for this site*
- View Site General Info for this site (Overview tab)*
- Use Online Editor to update Site General Info or DOI Authorship
- Update information about submitted data (Variable Information tool)
- More BADM resources
* Online updates are shown on the Overview tab real time. However, downloaded BADM files will not reflect those updates until they have been reviewed for QA/QC.
CR-Dos: La Selva T2
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM