http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113155751-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-1793 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2431 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-25 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01P5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-4738 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2415 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-25 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-13 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01P5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-47 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764 |
| filingDate | 2021-04-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-10-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-10-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-113155751-B |
| titleOfInvention | Remote sensing identification method of POC vertical structure type in eutrophic lake |
| abstract | The invention relates to a remote sensing identification method for POC vertical structure types of eutrophic lakes, which analyzes field measured data in different scenarios to generalize the vertical distribution types of POCs; integrates the driving factors of spatial and temporal heterogeneity of POC vertical structures to construct different eutrophic lakes. The remote sensing identification process of the vertical distribution type of pixel POC; finally, using the surface chlorophyll, FAI and wind speed retrieved by remote sensing, a Logistic model is constructed to divide the different vertical distribution types of POC. The method of the invention performs mathematical generalization on the vertical distribution of the POC in the eutrophic lake, and can obtain the continuous distribution of the POC concentration at different depths in the water column; the constructed binary decision tree can realize the identification of the vertical distribution type of the POC at the scale of the remote sensing pixel, which is Remote sensing estimation service of lake POC reserves; POC vertical distribution type division based on remote sensing surface Chl‑a, surface POC concentration and wind speed data, with strong scalability. |
| priorityDate | 2021-04-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 24.