We are starting to do some retrospectives of the SNAMP program. Just to get going, here are our participants visualized from two different angles: in person and online. The in person numbers (left) come from meeting attendance from the project; the online numbers (right) come from the previous year's hits from Google Analytics.
The meeting attendance is far greater, but we get more of the southern California audience from the website.
The new Berkeley Food Institute has released its crop of funded projects from its first seed grant program. Our project Making the Road by Mapping: Informing Food System Transformation through Participatory Mapmaking was selected for seed funding. This project, led by Kathryn DeMaster includes graduate students Adam Calo (ESPM) and Sarah Van Wart (Information), Darin Jensen (Geography), Tapan Parikh (Information), Kaley Grimland-Mendoza (Agriculture and Land-Based Training Association), Amber Sciligo (Post-doc, ESPM), Christy Getz (ESPM), and Jennifer Sowerwine (Jepson Herbaria). We look forward to digging in.
Our participatory mapping research project has four primary purposes: First, we explore participatory mapping as a way to collaboratively generate new food system knowledge with scholars, practitioners, and producers. Second, through a process we term “communitysourcing,” we aim to illuminate overlooked caches of community-based knowledge and engage community members, agricultural producers and scholars in collaborative efforts to map a particular food system supply chain (small-scale organic strawberry production in the Salinas Valley). Third, we aim to integrate the interdisciplinary community-based participatory research with specific understandings of the way that certain agricultural policies either facilitate or restrict sustainable small-scale organic strawberry production in the Salinas Valley (with a particular focus on water quality and food safety policy/regulations). Fourth, we will present our findings in novel, innovative, and visually captivating ways that will: (a) Inform specific policies/regulations and; (b) Provide small-scale producers with easily accessible caches of community generated knowledge to inform their practices.
It's meta-gorgeous, and better than spy vs spy: Landsat 8 catches a glimpse of its older, retired uncle Landsat 5. From NASA:
Feb 14, 2014 • Eight months ago, on June 5, 2013, the U.S. Geological Survey decommissioned the venerable Landsat 5 satellite. That day, the USGS Landsat Flight Operations Team transmitted the last command to Landsat 5, effectively terminating the mission and leaving it in a disposal orbit.
This week, Landsat 8 overflew the defunct Landsat 5, and thanks to some clever work by Mike Gartley, a Research Scientist with the Digital Imaging and Remote Sensing group at Rochester Institute of Technology (RIT)—a group that has long participated in Landsat calibration and validation—Landsat 5 was seen in an image taken by Landsat 8.
In these images, the satellite is seen as a streak of pixels (dark or light depending on the spectral band). There is one image from each of Landsat 8′s OLI bands, except for Band 7, or SWIR-2, where she blended into the clouds and was impossible to distinguish. In these images Landsat 5 is much closer to Landsat 8 than she is to the Earth. More here.
Clark Labs was awarded a million dollar grant from Esri to create a cloud-based version of their Land Change Modeler for ArcGIS. Land Change Modeler is suite of tools to assess and predict land change and evaluate the impacts of change and includes REDD (Reducing Emissions from Deforestation and Forest Degradation) tools for modeling the impact of land cover change on carbon emissions. Currently Land Change Modeler is only available in IDRISI and as a software extension for ArcGIS (the latest version is compatible with v10.2). This will make this tool more easily assessable to the wider public and scientific community.
From Clark Labs press release:
"Clark Labs was recently awarded a million dollar grant from Esri to create a cloud-based version of their Land Change Modeler for ArcGIS. Currently, Clark Labs’ extension is for the ArcGIS desktop.
Land Change Modeler for ArcGIS, first released in 2007 with Version 2 released this past month, is a software extension for ArcGIS users, offering a suite of tools to assess and predict land change and evaluate the impacts of such change. Clark Labs recent release includes many significant enhancements. The new version is compatible with ArcGIS Version 10.2
The Land Change Modeler offers an extensive suite of tools for land change research in a simple and automated workflow. It provides a variety of tools for land change analysis and prediction, as well as the impacts of those changes.
The new version release of this fall provides significant enhancements, particularly for its utility for REDD (Reducing Emissions from Deforestation and Forest Degradation). Land Change Modeler now includes functionality for modeling the impact of land cover change on carbon emissions. “Our world is changing rapidly, and technology to efficiently model and predict future land change is vital to addressing global challenges,’ said Jack Dangermond, Esri President. “We’re pleased to award this grant to Clark Labs to jumpstart their effort to utilize and provide rich content through ArcGIS Online.”
The new version also provides more capability for estimating land change impacts on habitat and biodiversity. With the grant from Esri, Clark Labs will be creating a cloud-based implementation of Land Change Modeler for their platform.
Clark Labs and Esri have been business partners for nearly ten years, working collaboratively on GIS research."
For the full news release see here.
I am working on a retrospective of remote sensing of forests in California for the centennial. I am trying to highlight some of the pioneering work done by remote sensors that focused on Californian forests from the 1960s through the use of lidar today.
Of course with this topic you must begin with Robert N. Colwell. Dr. Colwell was an internationally renowned remote sensing scientist; he was former associate director of the Space Sciences Laboratory at the UC Berkeley, and he was the instructor of remote sensing in our own Mulford Hall from 1947 until his retirement in 1983. He was NASA co-investigator for Apollo IX, and his research in the 1960s on reflectance and multispectral reconnaissance were the primary basis for selecting the type of sensors and the spectral bands implemented in Landsat. Neat guy, and we all benefit from his intellectual legacy.
Anyway, for this paper, I am going through some of his work as he transitioned from aerial photography to digital imaging, and I came across this picture. Mulford is just off the scene in the upper left corner. In his caption he says:
"Oblique aerial view of Berkeley Campus of University of California taken with Camouflage Detection film." (That is what they used to call color infrared.) "Such photography is superior to any other for certain photo interpretation purposes as indicated by some of the preceding examples. Note in this photo how color values for each species of tree tend to remain uniform from foreground to background because of the superior haze penetration offered by this film. The relatively long wavelengths to which this infrared-sensitive film reacts are scattered but very little by atmospheric haze particles, thus accounting for the uniform color values and for excellent image sharpness." I dig this part: "The original color transparencies have the same color values as seen here and consequently make very attractive panels for lamp shades, although certain of their colors fade upon prolonged exposure to light."
The trend for using maps as home decorations PRE-DATES 1970! Take that hipsters!
Article source: Colwell, R.N. 1964. Aerial photography - A valuable sensor for the scientist. American Scientist, Vol. 52, No. 1 (MARCH 1964), pp. 16-49
Some more about him here: http://senate.universityofcalifornia.edu/inmemoriam/robertcolwell.htm
