Abstract
Remotely observing global vegetation from space has endured for nearly 50 years. Many datasets have been developed to monitor vegetation status. Tailored to specifically monitor global food security concerning drought and crop yield, a suite of datasets based on vegetation health concepts and Advanced Very High Resolution Radiometer (AVHRR) observation was developed in the 1980s and utilized throughout the world. Nowadays, satellites based imaging radiometers have evolved into the Visible Infrared Imaging Radiometer Suite (VIIRS) era. With proper algorithm development, the blended version of the data suite, composed of the AVHRR dataset from 1981 to 2012 and VIIRS dataset from 2013 and afterwards, has bridged the long-term AVHRR observation and high-quality VIIRS data. This paper explains the blended version of the data suite.
Highlights
The coincidence of the Great Grain Robbery [1,2] and the launch of LandSat 1 ( by the name of “Earth Resources Technology Satellite (ERTS)”, or sometimes together with label “1” or “A”) in July1972 represented the human race entering a new era of agricultural monitoring
A number of vegetation health products have been developed based on the vegetation health Equations (1)–(3), such as the ones derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) [48,49] and Landsat data [50,51], the VHP reviewed in this article is confined to the vegetation health products developed in Center for Satellite Applications and Research, National Environmental Satellite Data and Information Services, NOAA, and its URL is https://www.star.nesdis.noaa.gov/smcd/emb/vci/VH/index.php
The prime algorithm development activities in the Advanced Very High Resolution Radiometer (AVHRR) era related to improving the quality of Normalized Differential Vegetation Index (NDVI), while in the first stage of the Visible Infrared Imaging Radiometer Suite (VIIRS) era, due to much higher quality of VIIRS NDVI, more attention was paid to their climatology
Summary
The coincidence of the Great Grain Robbery [1,2] and the launch of LandSat 1 ( by the name of “Earth Resources Technology Satellite (ERTS)”, or sometimes together with label “1” or “A”) in July1972 represented the human race entering a new era of agricultural monitoring. The lessons learned from the crisis of the Great Grain Robbery called for the necessity to be aware in advance of agricultural emergencies over a large area or even the globe; it spurred huge multi-agency projects, such as the Large Area Crop Inventory Experiment (LACIE) in 1974 and the subsequent Agriculture and Resources Inventory Surveys through Aerospace Remote Sensing (AgRISTARS) program in 1978 [3]. The multi-spectral scanner (MSS) observation from LandSat 1 echoed with technological readiness of agricultural monitoring from space to some degree and heralded the future direction: on the one hand, it has been utilized to measure crop area in LACIE [4], as well as to deal with land cover classification, identification of crop type, assessment of crop condition, and so on, in AgRISTARS [5]; on the another hand, it has pioneered successive Earth Observatory, as following LandSat series, Advanced Very High.
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