http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110057997-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-22 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-18 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-22 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F30-20 |
| filingDate | 2019-05-06^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-05-24^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-05-24^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-110057997-B |
| titleOfInvention | A time series inversion method of forest fuel moisture content based on dual-polarization SAR data |
| abstract | The invention discloses a time series inversion method of forest fuel moisture content based on dual polarization SAR data, belonging to the technical field of remote sensing inversion. The present invention first establishes a semi-empirical model of the total backscattering contribution of the surface, and then uses the semi-empirical models of the total backscattering contribution of the surface under different polarization modes to jointly eliminate the surface soil moisture parameter in the model to obtain a dual-polarization semi-empirical model; and Based on the sample data in the study area, the established dual-polarization semi-empirical model is calibrated, and then a look-up table is established based on the calibrated dual-polarization semi-empirical model. play. The invention can truly and objectively reflect the overall backscattering contribution of the surface, avoid the influence of soil moisture scattering on the FMC inversion results, obviously improve the accuracy of the inversion results, and can be used for FMC inversion in different research areas, and it is widely used in the FMC inversion. It has strong adaptability and makes up for the blank of semi-empirical model inversion of FMC parameters based on microwave remote sensing. |
| priorityDate | 2019-05-06^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 |
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