Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data

Hirofumi Hashimoto, Jennifer L. Dungan, Michael A. White, Feihua Yang, Andrew R. Michaelis, Steven W. Running, Ramakrishna R. Nemani

Research output: Contribution to journalArticlepeer-review

84 Scopus citations


Vapor Pressure Deficit (VPD) is a principle mediator of global terrestrial CO2 uptake and water vapor loss through plant stomata. As such, methods to estimate VPD accurately and efficiently are critical for ecosystem and climate modeling efforts. Based on prior work relating energy partitioning, remotely sensed land surface temperature (LST), and VPD, we developed simple linear models to predict VPD using saturated vapor pressure calculated from MODIS LST at a number of different temporal and spatial resolutions. We developed and assessed the LST-VPD models using three data sets: (1) instantaneous and daytime average ground-based VPD and radiometric temperature from the Soil Moisture Experiments in 2002 (SMEX02); (2) daytime average VPD from AmeriFlux eddy covariance flux tower observations; and (3) estimated daytime average VPD from Global Surface Summary of Day (GSSD) observations. We estimated model parameters for VPD estimation both regionally (MOD11 A2) and globally (MOD11 C2) with RMSE values ranging from .32 to .38 kPa. VPD was overestimated along coastlines and underestimated in arid regions with low vegetation cover. Also, residuals were larger with higher VPDs because of the non-linear function of saturation vapor pressure with LST. Linear relationships were seen at multiple scales and appear useful for estimation purposes within a range of 0 to 2.5 kPa.

Original languageEnglish
Pages (from-to)142-155
Number of pages14
JournalRemote Sensing of Environment
Issue number1
StatePublished - Jan 15 2008


This research was supported by a doctoral fellowship to HH from the Japan Society for the Promotion of Science (JSPS). Funding from NASA's Science Mission Directorate supported the participation of RRN, MAW (NNG04G043G), JLD, and SWR. We would like to acknowledge Ameriflux and SMEX02 for archiving and providing some of the data used in this study. Discussions with Dr. Granger helped to articulate this study from local to global scales.

FundersFunder number
Japan Society for the Promotion of Science


    • Land surface temperature
    • MODIS
    • VDP


    Dive into the research topics of 'Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data'. Together they form a unique fingerprint.

    Cite this