Spatial variability in microwave radiometric signatures of growing corn and soybean during SMAPVEX16-microwex

Pang Wei Liu, Jasmeet Judge, Subit Chakrabarti, Roger Deroo, Susan Steele-Dunne, Brian Hornbuckle, Andreas Colliander, Sidharth Misra, Scott Tripp, Barron Latham, Ross Williamson, Isaac Ramos, Simon Yueh, Anthony England

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

In this study, the impact of spatial variability due to the heterogeneity of vegetation in the agricultural region on passive microwave signatures available at various scales are explored using the brightness temperature (TB) observed from ground, air, and space. These observations were conducted during a growing season of corn and soybean in South Fork watershed, Iowa, as part of the NASA-Soil Moisture Active Passive Validation Experiment (SMAPVEX16). Both empirical and physically-based microwave emission models are used to understand the effects of vegetation on TB for corn and soybean using ground-based TB observations. The modeled TB will be upscaled based upon the USDA crop layer map to compare with the TB observed in the coarse scales.

Original languageEnglish
Title of host publication2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages3953-3956
Number of pages4
Volume2017-July
ISBN (Electronic)9781509049516
DOIs
Publication statusPublished - 1 Dec 2017
Event37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017: IEEE Geoscience and Remote Sensing - Fort Worth, United States
Duration: 23 Jul 201728 Jul 2017
Conference number: 37
http://www.igarss2017.org/

Conference

Conference37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Abbreviated titleIGARSS 2017
CountryUnited States
CityFort Worth
Period23/07/1728/07/17
Internet address

Keywords

  • Passive Microwave Remote Sensing
  • Scale Variability
  • Soil Moisture
  • Vegetation Opacity

Fingerprint

Dive into the research topics of 'Spatial variability in microwave radiometric signatures of growing corn and soybean during SMAPVEX16-microwex'. Together they form a unique fingerprint.

Cite this