Assessing the Impact of LAI Data Assimilation on Simulations of the Soil Water Balance and Maize Development Using MOHID-Land

Water3.40
Volume: 10, Issue: 10, Pages: 1367 - 1367
Published: Sep 30, 2018
Abstract
Hydrological modeling at the catchment scale requires the upscaling of many input parameters for better characterizing landscape heterogeneity, including soil, land use and climate variability. In this sense, remote sensing is often considered as a practical solution. This study aimed to access the impact of assimilation of leaf area index (LAI) data derived from Landsat 8 imagery on MOHID-Land’s simulations of the soil water balance and maize...
Paper Details
Title
Assessing the Impact of LAI Data Assimilation on Simulations of the Soil Water Balance and Maize Development Using MOHID-Land
Published Date
Sep 30, 2018
Journal
Volume
10
Issue
10
Pages
1367 - 1367
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