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Dive into the research topics where Jarrett Powers is active.

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Featured researches published by Jarrett Powers.


Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII | 2016

Using RADARSAT-2 and TerraSAR-X Satellite Data for the Identification of Canola Crop Phenology

Anna Pacheco; Heather McNairn; Yifeng Li; George A. Lampropoulos; Jarrett Powers

Knowing the exact growth stage of agricultural crops can be valuable information for crop management and monitoring. In Canada, canola fields are particularly vulnerable for crop disease development during their flowering stage, especially when the fields are under persistent wet conditions. Clubroot and sclerotinia are diseases that can occur in canola when these two factors come together. Remote sensing can provide an interesting tool for the monitoring of crop phenological stages over large agriculture landscapes. Reliable and frequent access to data is needed to determine field-specific growth stages. Given their all-weather capability, radar sensors are optimal for monitoring such a dynamic crop parameter. In 2014, Agriculture and Agri-Food Canada collected crop phenology information over multiple canola fields in the area of Carman, Manitoba. Coincidental to ground data collection, fully polarimetric RADARSAT-2 and dual-polarimetric TerraSAR-X satellite data were acquired over the study site. In collaboration with A. U. G. Signals Ltd., a methodology will be developed and validated for the identification of inflorescence emergence and flowering in canola fields. Analysis of the polarimetric datasets from this study determined that several polarimetric parameters were sensitive to the emergence of flower buds and the flowering stage in canola. The alpha angle and entropy in both the C- and X-band were able to identify these growth stages, in addition to any of the reflectivity ratios and differential reflectivity responses that incorporated an HV response. The RADARSAT-2 scatter diversity, degree of purity and depolarization index also demonstrated great potential at identifying canola flower emergence and flowering. These latter polarimetric parameters along with the reflectivity ratios may be advantageous given their ease in implementation within a larger risk assessment satellite-derived methodology for canola crop disease.


international geoscience and remote sensing symposium | 2017

Sentinel-1 high resolution soil moisture

Francesco Mattia; Anna Balenzano; Giuseppe Satalino; Francesco P. Lovergine; Alexander Loew; Jian Peng; Urs Wegmüller; Maurizio Santoro; Oliver Cartus; Katarzyna Dabrowska-Zielinska; Jan Musial; Malcolm Davidson; Simon H. Yueh; Seung-Bum Kim; Narendra N. Das; Andreas Colliander; Joel T. Johnson; Jeffrey D. Ouellette; Jeffrey P. Walker; Xiaoling Wu; Heather McNairn; Amine Merzouki; Jarrett Powers; Todd G. Caldwell; Dara Entekhabi; Michael H. Cosh; Thomas J. Jackson

The systematic retrieval of near surface soil moisture (SSM) fields at high resolution (e.g., 0.1–1.0 km) is a challenging task that requires the exploitation of new retrieval algorithms and SAR data with advanced observational capabilities (in terms of spatial/temporal resolution, radiometric accuracy, very large swath, long-term continuity and rapid data dissemination). The launch of the Sentinel-1 (S-1) constellation provides these capabilities and calls for the development and validation of pre-operational SSM products at high resolution. The objective of this paper is to present and initially assess a SSM retrieval algorithm developed in view of S-1 data exploitation. The activity is supported by a large scientific community engaged in fostering a more effective interaction between researchers working in the field of high and low resolution SSM retrieval.


international geoscience and remote sensing symposium | 2017

Soil moisture retrieval with airborne PALS instrument over agricultural areas in SMAPVEX16

Andreas Colliander; Thomas J. Jackson; Michael H. Cosh; Sidharth Misra; Rajat Bindlish; Jarrett Powers; Heather McNairn; Paul R. Bullock; Aaron A. Berg; Ramata Magagi; Peggy E. O'Neill; Simon H. Yueh

NASAs SMAP (Soil Moisture Active Passive) calibration and validation program revealed that the soil moisture products are experiencing difficulties in meeting the mission requirements in certain agricultural areas. Therefore, the mission organized airborne field experiments at two core validation sites to investigate these anomalies. The SMAP Validation Experiment 2016 included airborne observations with the PALS (Passive Active L-band Sensor) instrument and intensive ground sampling. The goal of the PALS measurements are to investigate the soil moisture retrieval algorithm formulation and parameterization under the varying (spatially and temporally) conditions of the agricultural domains and to obtain high resolution soil moisture maps within the SMAP pixels. In this paper the soil moisture retrieval using the PALS brightness temperature measurement in SMAPVEX16 is discussed in relation to in situ and SMAP soil moisture.


international geoscience and remote sensing symposium | 2017

Compact polarimetric synthetic aperture radar for monitoring crop condition

Heather McNairn; Saeid Homayouni; Mehdi Hosseini; Jarrett Powers; Keith Beckett; William Parkinson

Adoption of optical vegetation indices for local, national, and global crop condition monitoring is wide spread. Given that cloud cover impedes acquisition of these data, this research examines whether Synthetic Aperture Radar (SAR), specifically a compact polarimetric (CP) configuration, could augment these operational initiatives. Encouraging statistical correlations are reported between several CP parameters and the Normalized Difference Vegetation Index (NDVI). These early results suggest that further development is warranted to integrate a SAR-based index with optical-NDVI particularly considering the configuration of future Canadian satellite systems.


Remote Sensing of Environment | 2016

Retrieving soil moisture for non-forested areas using PALS radiometer measurements in SMAPVEX12 field campaign

Andreas Colliander; Eni G. Njoku; Thomas J. Jackson; Seth L. Chazanoff; Heather McNairn; Jarrett Powers; Michael H. Cosh


Vadose Zone Journal | 2015

Calibration and Evaluation of a Frequency Domain Reflectometry Sensor for Real-Time Soil Moisture Monitoring

E. RoTimi Ojo; Paul R. Bullock; Jessika L’Heureux; Jarrett Powers; Heather McNairn; Anna Pacheco


Hydrology | 2017

Application of HEC-HMS in a Cold Region Watershed and Use of RADARSAT-2 Soil Moisture in Initializing the Model

Hassan Bhuiyan; Heather McNairn; Jarrett Powers; Amine Merzouki


Remote Sensing of Environment | 2018

Capturing agricultural soil freeze/thaw state through remote sensing and ground observations: A soil freeze/thaw validation campaign

Tracy L. Rowlandson; Aaron A. Berg; Alexander Roy; Edward J. Kim; Renato Pardo Lara; Jarrett Powers; Kristin Lewis; Paul R. Houser; Kyle C. McDonald; Peter Toose; Albert Wu; Eugenia De Marco; Chris Derksen; Jared K. Entin; Andreas Colliander; Xiaolan Xu; Alex Mavrovic


Archive | 2016

SLAPex Freeze/Thaw 2015: The First Dedicated Soil Freeze/Thaw Airborne Campaign

Edward J. Kim; Albert Wu; Eugenia DeMarco; Jarrett Powers; Aaron A. Berg; Tracy L. Rowlandson; Jacqueline Freeman; Kurt Gottfried; Peter Toose; Alexandre Roy; Chris Derksen; Alain Royer; Stephane Belair; Paul R. Houser; Kyle C. McDonald; Jared Entin; Kristen Lewis


2014 AGU Fall Meeting | 2014

Pals (Passive Active L-band System) Radiometer-Based Soil Moisture Retrieval for the SMAP Validation Experiment 2012 (SMAPVEX12)

Andreas Colliander; Thomas J. Jackson; Steven Chan; Rajat Blindlish; Peggy E. O'Neill; Seth L. Chazanoff; Heather McNairn; Paul R. Bullock; Jarrett Powers; Grant Wiseman; Aaron A. Berg; Ramata Magagi; Eni G. Njoku

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Heather McNairn

Agriculture and Agri-Food Canada

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Thomas J. Jackson

Goddard Space Flight Center

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Michael H. Cosh

Agricultural Research Service

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Amine Merzouki

Agriculture and Agri-Food Canada

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Anna Pacheco

Agriculture and Agri-Food Canada

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