NAFE monitoring stations O. Merlin, J. Walker, R. Panciera, R. Young and M. Rinaldi 3 rd NAFE Workshop 17-18 Sept. 2007.

Slides:



Advertisements
Similar presentations
Murrumbidgee Basin OzNet Station Update Rodger Young - Field Research Engineer Responsible for : - site installation Responsible for : - site installation.
Advertisements

Second NAFE Workshop Airborne TIR/NDVI data O Merlin and J Walker.
OzNet Monitoring Network Status NAFE Workshop Sept 2008 Rodger Young.
MoistureMap: Multi-sensor Retrieval of Soil Moisture Mahdi Allahmoradi PhD Candidate Supervisor: Jeffrey Walker Contributors: Dongryeol Ryu, Chris Rudiger.
2 nd NAFE Workshop 13–14 February 2006 g Rocco Panciera NAFE’05 HYDRA PROBE DATA Rocco Panciera and Jeffrey Walker University of Melbourne Jetse Kalma.
Second NAFE Workshop NAFE’06: A Proposed Campaign Strategy J Walker, O Merlin and R Panciera Dept Civil and Env Engg The University of Melbourne, Australia.
2 nd NAFE Workshop 13–14 February 2006 g Rocco Panciera NAFE’05 ANCILLARY DATA Rocco Panciera and Jeffrey Walker University of Melbourne Jetse Kalma University.
The ESA CoSMOS study for the validation of the SMOS L2 prototype K Saleh Contell, Y. Kerr, MJ Escorihuela, G. Boulet, P. Maisongrande, P. de Rosnay, JP.
Hydraprobe calibration O. Merlin, J. Walker, R. Panciera, H. Meade, D. Biasioni, R. Young, L. Siriwardena, A. Western 3 rd NAFE Workshop Sept
Preliminary Results from ATDD’s Soil Moisture/Temperature Testbed Soil Moisture and Soil Temperature Observations and Applications: A Joint U.S. Climate.
AVHRR Data for Monitoring Drought, Environment and Socioeconomic Activities Felix Kogan NOAA/NESDIS Office of Satellite Research and Applications.
School of Natural Resources University of Nebraska  Lincoln Soil Moisture Monitoring, Data, and Products in Nebraska Eric Hunt, Brian Fuchs, Mark Svoboda.
Hillcrest Primary School Monitoring Soil Moisture to Achieve Best Practice Turf & Irrigation Management Gerry Charlton DIRECTOR IPOS Consulting Pty Ltd.
Measurement of Radiation - Solar radiation - Long wave radiation - Net radiation - Exposure of radiation sensors.
Carbon dynamics at the hillslope and catchment scale Greg Hancock 1, Jetse Kalma 1, Jeff McDonnell 2, Cristina Martinez 1, Barry Jacobs 1, Tony Wells 1.
Scaling and Assimilation of Soil Moisture and Streamflow (SASMAS): project overview and preliminary results G Willgoose (U. Leeds, UK), H Hemakumara (U.
U.S. Department of the Interior U.S. Geological Survey NASA/USDA Workshop on Evapotranspiration April 6, 2011 – Silver Spring, Maryland ET for famine early.
Near Surface Soil Moisture Estimating using Satellite Data Researcher: Dleen Al- Shrafany Supervisors : Dr.Dawei Han Dr.Miguel Rico-Ramirez.
Walker, Merlin, Panciera, Kalma, Kim and Hacker NAFE National Airborne Field Experiment 3 rd Workshop – Sep
Walker, Merlin, Panciera, Kalma and Hacker NAFE National Airborne Field Experiment 2 nd Workshop – Feb
1 Microwave Vegetation Indices and VWC in NAFE’06 T. J. Jackson 1, J. Shi 2, and J. Tao 3 1 USDA ARS Hydrology and Remote Sensing Lab, Maryland, USA 2.
Preserving sacred space: A microclimate study of the Shrine of the Bab, a Baha’i holy site. Blake Campbell & Patrick Ravines Baha’i World Centre, Conservation.
Biomes.
All Sensors Note: Be sure you have already selected your station and time interval before choosing this product.
Disaggregation of passive microwave data and assimilation into distributed hydrological models: The National Airborne Field Experiment (NAFE’05/06) Jetse.
A Sensitivity Analysis on Remote Sensing ET Algorithm— Remote Evapotranspiration Calculation (RET) Junming Wang, Ted. Sammis, Luke Simmons, David Miller,
Dew Point and Relative Humidity
CSIRO LAND and WATER Estimation of Spatial Actual Evapotranspiration to Close Water Balance in Irrigation Systems 1- Key Research Issues 2- Evapotranspiration.
Probe use while upside down CSIRO LAND AND WATER / WATER FOR A HEALTHY COUNTRY David McJannet & Aaron Hawdon CosmOz Australian cosmic-ray soil moisture.
VEGETATION DATA Viviana Maggioni Dr. Jeffrey Walker.
 Case Study: Italy. What are the main physical features of Italy? L.O: To know what the main physical features of Italy are and be able to describe them.
Soils of North Dakota Dave Franzen Professor, North Dakota State University, Fargo- Extension Soil Specialist.
Introduction of IoT Agriculture Crystal 1. Outline Traditional Agriculture Irrigation Soil Status Crop Monitoring Smart Agriculture Example : Fujitsu.
Synergy of L-band and optical data for soil moisture monitoring O. Merlin, J. Walker and R. Panciera 3 rd NAFE workshop sept
Soil Temperature Retrieval Using Multi-Sensor Data Paul O'Neill, Remy Dehaan EH Graham Centre and Charles Sturt University Jeff Walker University of Melbourne.
Part 2. The watershed inventory. Part 2. The watershed inventory: lecture 5. Climate Watershed management of 19 The watershed inventory.
Water Movement in the Earth Lab investigation into Permeability and Porosity.
Factors explaining the nature, spatial patterns and future directions of the selected economic activity - Biophysical; Climate, Soils, Topography.
Arctic Temperatization Arctic Temperatization : A Preliminary Study of Future Climate Impacts on Agricultural Opportunities in the Pan-Arctic Drainage.
Western States Remote Sensing of ET Workshop Boise, 12 October 2011 METRIC TM Consumptive use from energy balance (METRIC) and conventional estimates for.
Factors That Influence Climate. Terms: Weather: The current state of the atmosphere. Climate: A 30 year average for a particular area.
Become “spectrally aware” ! ARM SGP site is dominated by two land cover types “grass vegetation” and “bare soil”. U. of Wisconsin measured the IR emissivity.
NWS Calibration Workshop, LMRFC March, 2009 Slide 1 Analysis of Evaporation Basic Calibration Workshop March 10-13, 2009 LMRFC.
Antwerp march A Bottom-up Approach to Characterize Crop Functioning From VEGETATION Time series Toulouse, France Bucharest, Fundulea, Romania.
High Spectral Resolution Infrared Land Surface Modeling & Retrieval for MURI 28 April 2004 MURI Workshop Madison, WI Bob Knuteson UW-Madison CIMSS.
Princeton University Development of Improved Forward Models for Retrievals of Snow Properties Eric. F. Wood, Princeton University Dennis. P. Lettenmaier,
Jeffrey Walker et al. PLMR Data Jeffrey Walker and Valerio Paruscio Dept of Civil and Env Engg The University of Melbourne, Australia Ed Kim Hydrospheric.
Abstract: Dryland river basins frequently support both irrigated agriculture and riparian vegetation and remote sensing methods are needed to monitor.
Homework: Textbook pages #1-4. Follow the Low Pressure System.
William Crosson, Ashutosh Limaye, Charles Laymon National Space Science and Technology Center Huntsville, Alabama, USA Soil Moisture Retrievals Using C-
Soil moisture estimates over Niger from satellite sensors (T. Pellarin, M. Zribi)
A Measuring Polygon with a Complex of Polarimetric, Combined Active-Passive Sensors of S-, Ku-, and Ka-band of Frequencies for Soil and Snow Remote Sensing.
Animals Grow and Change
Terra Launched December 18, 1999
EG2234: Earth Observation Interactions - Land Dr Mark Cresswell.
Long-term drought assessment of Northern Central African continent using Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST)
Key Considerations in Linking Permafrost, Ecosystems and Run-off William J. Gutowski, Jr. Dept. of Geological & Atmospheric Sciences Iowa State University.
1 Canal Seepage ESHMC 8 January 2008 B. Contor. 2 Outline Current treatment of Canal Seepage Review of Recharge Tools PEST Possibilities Implications.
Satellite Microwave Radiometry: Current and Future Products Rogre De Roo and Tony England Atmospheric, Oceanic, and Space Sciences.
 The Middle East is extremely arid… meaning that it receives little or no rain and stays mostly dry during the year.  Large portion of the land is covered.
 It is not representative of the whole water flow  High costs of installation and maintenance  It is not uniformly distributed in the world  Inaccessibility.
Terhune Orchards- ●Family run business ●Fruit and vegetable farm ●Open to the public ●Care for our land, our community and our future.
IrriWise™ Wireless Monitoring System IrriWiseTM Manager SCADA view Graphs.
Measuring Albedo. Type of surface cover Outgoing illuminance Incoming illuminance Albedo.
Passive Microwave Remote Sensing
NAFE’06 ANCILLARY DATA Rocco Panciera, Olivier Merlin and Jeffrey Walker University of Melbourne Edward Kim NASA’s Goddard Space Flight Centre Jetse Kalma.
Become “spectrally aware” !
Scaling Properties of L-band Passive Microwave Soil Moisture: From SMOS to Paddock Scale My work is focused on the scaling properties of L-band retrieval.
Draw this H L.
Reflectance and Sensor Basics
Presentation transcript:

NAFE monitoring stations O. Merlin, J. Walker, R. Panciera, R. Young and M. Rinaldi 3 rd NAFE Workshop Sept. 2007

Objectives Provide 0-5cm soil temperature T eff Derive TIR-T eff relationships Estimate of vegetation wetness Presence of dew

Requirements Distributed in space Include major land covers: dry land pasture, irrigated pasture, dry wheat, irrigated wheat, bare soil

NAFE stations S1 S2 S3 S4 S5S6

NAFE station set up 1 Mikron FOV 6:1 1 Ahlborn FOV 4:1 2 Everest FOV 1:1 Campbell sensor 0/1 Unidata temp sensors North

TIR calibration 1 before 1 after campaign Add hot water 60ºC in bucket And ice down to 10ºC Link black body temp to output I/V

S1 S2 S3S4

S1 Dry wheat Breakdown of the TIR

S2 Bare soil No veg wetness sensor

S3 Irrigated wheat Battery

S4 Irrigated pasture (alfalfa) Battery

S5 Dry land pasture Logger No radiometer

S6 Dry land pasture No logger No radiometer

Conclusions Gaps in the data Combination of S1, S5, S6: continuous monitoring for dry land