Remote Sensing for Tree Counting Presentation - …...Remote Sensing for Tree Counting Presentation...
17
Cooperative Extension Service J.Frank Schmidt Nursery, September 9, 2010 REMOTE SENSING FOR TREE COUNTING Presenter: Dharmendra Saraswat
Transcript of Remote Sensing for Tree Counting Presentation - …...Remote Sensing for Tree Counting Presentation...
Cooperative Extension Service
J.Frank Schmidt Nursery, September 9, 2010
REMOTE SENSING FOR TREE COUNTING
Presenter: Dharmendra Saraswat
Cooperative Extension Service
OUTLINE
Process UsedResults
Cooperative Extension Service
RESOURCES
One ft resolution, natural color, aerial imageImage processing software
Computer with 4 GB RAM and 2.0 GHz processor
Cooperative Extension Service
SCENARIOS ANALYZED
Grove Statistics
Area: approx 7.35 acres
Density: approx. 130 trees/acre
Total Tree #: 1011
Grove Statistics
Area: approx 21 acres
Density: approx. 134 trees/acre
Total Tree #: 2817
Grove Statistics
Area: approx 8.0 acres
Density: approx. 112 trees/acre
Total Tree #: 898
Grove Statistics
Area: approx 7.4 acres
Density: approx. 115 trees/acre
Total Tree #: 857
Cooperative Extension Service
CHALLENGESAge variation (mature vs reset)
Tree shadow
Spectral reflectivity- soil, weeds, grower practices (pruning, planting density, direction)
Angle of image acquisition
Seasonal effects- cloud(Source: Report Contract # 02‐17)
Cooperative Extension Service
PROCESSCount Trees using 1 ft resolution, natural color,
aerial imageryRow 1
Net Accuracy=Computer countReference count
Cooperative Extension Service
PROCESS- CONTD.
Cooperative Extension Service
PROCESS- CONTD.
Accuracy
Total Tree #: 1011
Software count: 964
Double: 10
Missing: 47
Net Count Accuracy: 964/1011*100= ~95 %
Cooperative Extension Service
PROCESS- CONTD.
Cooperative Extension Service
PROCESS- CONTD.
Accuracy
Total Tree #: 2817
Software count: 2640
Double: 5
Missing: 177
Net Count Accuracy: 2640/2817*100= ~94%
Cooperative Extension Service
PROCESS- CONTD.
Accuracy
Total Tree #: 898
Software count: 859
Double: 5
Missing: 39
Net Count Accuracy: 898/859*100= ~96%
Cooperative Extension Service
PROCESS- CONTD.
Accuracy
Total Tree #: 857
Software count: 826
Double: 25
Missing: 31
Net Count Accuracy: 826/857*100= ~96%
Cooperative Extension Service
SUMMARYOverall count accuracy for various size groves
ranged from 94-96%. The count accuracy was on an average better than
reported by NASS (~80%).Remote sensing could be a potential solution for
determining tree count from large areasChallenges will be there but efforts are needed to
find solutions
Cooperative Extension Service
J.Frank Schmidt Office, September 9, 2010
RFIDDates back to 1973- automatic toll
collection in NYTracking movement and position of
assets and goodsHeart- RFID tag and Reader
Cooperative Extension Service
J.Frank Schmidt Office, September 9, 2010
WHAT WE LEARNT?RFID tags in NurseryAt the seedling or plug stage, flats containing plants can betagged and tracked using the flat information. Informationsuch as the plant name, growing location, chemicalapplications, and growing conditions can all be stored in theRFID tag. When small plants are moved from flats toindividual containers, new tags are required that retains theprevious history. When tagging larger plants, distance betweentag and reader will play a very important role.
Cooperative Extension Service
J.Frank Schmidt Office, September 9, 2010
CHALLENGESMatching appropriate tags with your
condition and requirement-UHF (868-956MHz), more than a m, metal/liquid
Tags and reader interfaces are proprietary
Cooperative Extension Service
J.Frank Schmidt Office, September 9, 2010
ACKNOWLEDGMENTSJ. Frank Schmidt Foundation for
Exploratory SupportUniversity of Florida- Dr.(s) Gene
Albrigo and Reza Ehsani
Questions?
![1 Tree-based Algorithms for Compressed Sensing with …minhdo/publications/sparse_tree.pdfIn [12], [13] we primitively presented the Tree-based Orthogonal Matching Pursuit (TOMP) algorithm](https://static.fdocuments.us/doc/165x107/6026c0eb7281a936b44a9b56/1-tree-based-algorithms-for-compressed-sensing-with-minhdopublicationssparsetreepdf.jpg)
