TY - GEN
T1 - Scattering modeling of dynamic soybean during SMAPVEX16-MicroWEX
AU - Monsivais-Huertero, Alejandro
AU - Liu, Pang Wei
AU - Judge, Jasmeet
AU - Chakrabarti, Subit
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - Soil moisture (SM) is an important land surface variable for understanding the water cycle, ecosystem productivity, and linkages between water-carbon cycles. For SM studies, observations at L-band frequencies are more desirable due to larger penetration depths. The NASA Soil Moisture Active/Passive (SMAP) mission includes active and passive sensors at L-band to provide global observations of SM. The active observations are available from April-July 2015. In addition to the SM sensitivity, radar backscatter is highly sensitive to roughness of soil surface and scattering within the vegetation. Despite much progress in the development of backscattering models, there is still a gap in validating such models under dynamic vegetation conditions such agricultural crops. The goal of this study is to validate an incoherent model using season-long active observations over a soybean field at high temporal resolution during the SMAPVEX16-MicroWEX experiment.
AB - Soil moisture (SM) is an important land surface variable for understanding the water cycle, ecosystem productivity, and linkages between water-carbon cycles. For SM studies, observations at L-band frequencies are more desirable due to larger penetration depths. The NASA Soil Moisture Active/Passive (SMAP) mission includes active and passive sensors at L-band to provide global observations of SM. The active observations are available from April-July 2015. In addition to the SM sensitivity, radar backscatter is highly sensitive to roughness of soil surface and scattering within the vegetation. Despite much progress in the development of backscattering models, there is still a gap in validating such models under dynamic vegetation conditions such agricultural crops. The goal of this study is to validate an incoherent model using season-long active observations over a soybean field at high temporal resolution during the SMAPVEX16-MicroWEX experiment.
KW - Backscatter modeling
KW - Incoherent model
KW - SMAPVEX-16 field campaign
KW - Vegetated terrain
UR - http://www.scopus.com/inward/record.url?scp=85041837721&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2017.8128102
DO - 10.1109/IGARSS.2017.8128102
M3 - Contribución a la conferencia
AN - SCOPUS:85041837721
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4901
EP - 4903
BT - 2017 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Y2 - 23 July 2017 through 28 July 2017
ER -
