Showing results for: [ MODIS ]
Daily (1981-2019), monthly (1981-2019) and monthly mean (1981-2010) surfaces of minimum temperature (approx. 1.2 m from ground) across Victoria at a spatial resolution of 9 seconds (approx. 250 m). Su... morerfaces are developed using trivariate splines (latitude, longitude and elevation) with partial dependence upon a topographic index of relative elevation and standardised night time MODIS land surface temperature.less
Acquired - - Published 14 Jun 2020
Vegetation Fractional Cover represents the exposed proportion of Photosynthetic Vegetation (PV), Non-Photosynthetic Vegetation (NPV) and Bare Soil (BS) within each pixel. The sum of the three fraction... mores is 100% (+/- 3%) and shown in Red/Green/Blue colors. In forested canopies the photosynthetic or non-photosynthetic portions of trees may obscure those of the grass layer and/or bare soil. This product is derived from the MODIS Nadir BRDF-Adjusted Reflectance product (MCD43A4) collection 6 and has 500 meters spatial resolution.
A suite of derivative products are also produced including monthly fractional cover, total vegetation cover (PV+NPV), and anomaly of total cover against the time series.
Monthly: The monthly product is aggregated from the 8-day composites using the medoid method.
Anomaly: represents the difference between total vegetation cover (PV+NPV) in a given month and the mean total vegetation cover for that month in all years available, expressed in units of cover. For example, if the mean vegetation cover in January (2001-current year) was 40% and the vegetation cover for the pixel in January 2018 was 30%, the anomaly for the pixel in Jan 2018 would be -10%.
Decile: represents the ranking (in ten value intervals) for the total vegetation cover in a given month in relation to the vegetation cover in that month for all years in the time-series.
MODIS fractional cover has been validated for Australia. less
DoAWR - Improving the RaPP Map monitoring tool for Australia - - Published 11 Nov 2019
This dataset contains summary maps of surface water using MODIS satellite data from 2000 to 2015, and the Open Water Likelihood (OWL) algorithm produced for the Northern Australia Water Resource Asses... moresment (NAWRA). Flooding can be catastrophic to agricultural production in terms of loss of stock, fodder, topsoil and damage to crops and infrastructure. Flooding is also critical to wetland ecosystems. The MODIS OWL summary maps are produced for the period of 2000 to 2015 to show: Maximum percentage OWL value, Percentage of wet-pixel observations, and Maximum inundation duration for each pixel within the three NAWRA catchments (Fitzroy, Darwin and Mitchell).less
Northern Australian Basin Assessment:: Water Resource Assessments - - Published 05 Sep 2018
This satellite data set compromises of 6057 daily MODIS-Aqua (NASA) image acquisitions covering the Van Diemen Gulf region, NT. MODIS Level 0 data (e.g. raw counts) were processed using NASA’s SeaWiFS... more Data Analysis System (SeaDAS) software package version 7.0. Most up-to-date calibration tables and other auxiliary inputs (e.g. meteorological information) where incorporated into the processing with SeaDAS to account for sensor degradation and to compute calibrated and geo-located radiances at Top-of-Atmosphere (TOA) as Level 2 outputs. These were subsequently re-projected from satellite swath geometry to an equal-rectangular grid (445 x 550 pixels) covering 130.5° E and 133° E in longitude and 11° S and 13° S in latitude. The re-projected data were further processed using CSIRO’s regionally tuned ocean colour algorithms based on Artificial Neural Network (ANN) atmospheric correction and adaptive Linear Matrix Inversion (aLMI) in-water retrieval.
Northern NERP - Remote Sensing of - Satellite Remote Sensing Observations - Published 20 Mar 2015
The Coleambally Irrigation Area study site is a rice based irrigation system located in southern New South Wales (NSW, Australia; 34.0034E, 145.0675S) which has been extensively used for time series r... moreemote sensing research. Over the Coleambally 17 cloud-free Landsat-MODIS pairs were available for the 2001–2002 austral (i.e., southern hemisphere) summer growing season. Each image is 43 km in the north-south (N-S) direction and 51 km in the east-west (E-W) direction; an overall area of 2,193 km2 comprised of 1720 columns by 2040 lines at 25 m resolution. All Landsat imagery are ETM+ acquired by Landsat-7. Coleambally is entirely in the E-W overlap of two adjacent paths in the Landsat World Reference-2 system (i.e., Paths/Rows 92/84 and 93/84) allowing for an ~8-day repeat cycle. A separate folder contains a binary image for masking a selection of irrigated paddocks used for evaluation of accuracy of blending algorithms in land cover specific areas as described in the following citation:
Emelyanova IV, McVicar TR, Van Niel TG, Li LT, van Dijk AIJM (2012) On blending Landsat-MODIS surface reflectances in two landscapes with contrasting spectral, spatial and temporal dynamics. WIRADA Project 3.4: Technical report, 72 pp, CSIRO. Australia, https://publications.csiro.au/rpr/pub?list=SEA&pid=csiro:EP128838.less
Legacy data - Blending of Landsat-MODIS surface reflectances - Published 19 May 2014
The Lower Gwydir Catchment study site is located in northern NSW (149.2815E, 29.0855S), where 14 cloud–free Landsat-MODIS pairs were available from April 2004 to April 2005. Gwydir is 80 km N–S and 68... more km E–W covering 5,440 km2 (3200 columns by 2720 lines at 25 m resolution). All Landsat imagery are TM acquired by Landsat-5. A separate folder contains a binary image for masking inundated areas used for evaluation of accuracy of blending algorithms in land cover specific areas as described in the following citation:
Emelyanova IV, McVicar TR, Van Niel TG, Li LT, van Dijk AIJM (2012) On blending Landsat-MODIS surface reflectances in two landscapes with contrasting spectral, spatial and temporal dynamics. WIRADA Project 3.4: Technical report, 72 pp, CSIRO. Australia, https://publications.csiro.au/rpr/pub?list=SEA&pid=csiro:EP128838. less
This product provides estimates of canopy conductance at a global scale (0.05⁰) based on MODIS reflectance from MCD43C4 product and three vegetation indices (NDVI, EVI and Kc). The data is produced ... moreglobally at 0.05⁰ and every 8 days. Monthly and anuual climatologies are also available.
Base Period for Climatology: 2001-2011
Extra information about the pixel values:
Multiply by scale factor: 0.001
Fill values: -9999
The full reference for the algorithm is:
Yebra, M., Van Dijk, A., Leuning, R., Huete, A., Guerschman, J.P., 2013. Evaluation of optical remote sensing to estimate actual evapotranspiration and canopy conductance. Remote Sensing of Environment. 129, 250-261less
1212.0 OCE Post Doc Marta Yebra - Final mapping - Published 18 Dec 2012