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The International Satellite Land Surface Climatology Project (ISL SCP) Initiative II Data Collection 1. TITLE 2. INVESTIGATOR(S) 3. INTRODUCTION 4. THEORY OF ALGORITHM/MEASUREMENTS 5. EQUIPMENT 6.
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What is gimmsndvixxyyyymm00asc - ornl daac?
GIMMS NDVI is the Global Inventory Monitoring and Modeling System (GIMMS) Normalized Difference Vegetation Index (NDVI) dataset.
Who is required to file gimmsndvixxyyyymm00asc - ornl daac?
Researchers, scientists, and organizations utilizing remote sensing data for vegetation monitoring and modeling may be required to file GIMMS NDVI data from the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC).
How to fill out gimmsndvixxyyyymm00asc - ornl daac?
To fill out GIMMS NDVI data from ORNL DAAC, users typically need to access the dataset through the ORNL DAAC website and follow the provided instructions for downloading and utilizing the data.
What is the purpose of gimmsndvixxyyyymm00asc - ornl daac?
The purpose of GIMMS NDVI data from ORNL DAAC is to provide users with a long-term, consistent dataset of vegetation health and changes over time, which can be used for various environmental and ecological studies.
What information must be reported on gimmsndvixxyyyymm00asc - ornl daac?
Users may need to report metadata information such as the date, location, and specific parameters related to the GIMMS NDVI data they are utilizing for their research or analysis.
When is the deadline to file gimmsndvixxyyyymm00asc - ornl daac in 2023?
The deadline to file GIMMS NDVI data from ORNL DAAC in 2023 may vary depending on the specific project or research timeline. Users should refer to the ORNL DAAC website or contact the data providers for specific deadlines.
What is the penalty for the late filing of gimmsndvixxyyyymm00asc - ornl daac?
The penalty for late filing of GIMMS NDVI data from ORNL DAAC may not be specified, but users are encouraged to submit their data in a timely manner to ensure data accuracy and consistency.
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