http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-102507504-B
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_3966ddee295e08cc6fcce4695c77f91b |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-25 |
| filingDate | 2011-10-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2013-09-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7c6e92e75ae846a2a85a939ec3517a8b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3d0d69c29e7931d4024a9faf9351ffe5 |
| publicationDate | 2013-09-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-102507504-B |
| titleOfInvention | Hyperspectral monitoring method for pine wilt disease of masson pines |
| abstract | The invention discloses a hyperspectral monitoring method for the pine wilt disease of masson pines. The hyperspectral monitoring method comprises the following steps of: carrying out spectral measurement on the canopy of the masson pines by using a ground spectrometer, and extracting the spectral reflection factors of the canopy in the wavebands from 810 nm to 450 nm and from 760 nm to 675 nm; carrying out spectral parameter conversion on numerical values of the obtained reflection factors, wherein NDVI(Normalized Difference Vegetation Index)(810, 450)= (rho810-rho450)/(rho810+rho450), and DIR(Quotient of Index Ratio)(760, 675)= rho760/rho675; measuring the chlorophyll level (CHL) of the masson pines; judging the infected quantitative indicators of the masson pines; and determining the infected days (gbday) of infected trunks. According to the hyperspectral monitoring method, a hyperspectral data analysis technique is taken as a basis, spectral parameters dynamically and closely related to the occurrence of the pine wilt disease of masson pines are extracted, the CHL of each infected stage is quantitatively predicted, whether infection before being capable of being identifiable by naked eyes exists or not is judged according to the change law of spectral indexes and the change threshold of CHLs, and thus, a foundation for the lossless identification of forest health in unknown circumstances is provided. Meanwhile, the gbday is quantitatively simulated by using the spectral parameters, so that a basis for the realization of the early-monitoring of the pine wilt disease of masson pines is laid, and the efficiency in the prevention and the treatment of the pine wilt disease of forests is effectively increased. |
| priorityDate | 2011-10-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 25.