http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114544508-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_aaadcd534c1edeab62f85ec7991cb759 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-1797 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A40-10 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-17 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-25 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-17 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-25 |
| filingDate | 2020-11-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_31e5e9325af79313a7484f4bfebac6f1 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6307e8392a77b8701d670b18466b16ea http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cd022a43f67e008009a95e2ede6b70cd |
| publicationDate | 2022-05-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114544508-A |
| titleOfInvention | Maize mapping method based on sentinel data and carotenoid time series features |
| abstract | The invention relates to a corn mapping method based on sentinel data and carotenoid time series features. The method calculates the vegetation index, carotenoid and chlorophyll index based on the sentinel image data, establishes the annual time series data set of the three indexes, detects the time series change characteristics of carotenoids in each growth period pixel by pixel, and comprehensively integrates the whole growth period of carotenoids. The distance and standard deviation were used to establish the characteristic index of carotenoid changes in the growth period, and then the extreme value index of chlorophyll in the crop growth period was designed for maize mapping. The invention utilizes the characteristics that the chlorophyll content of maize is obviously high in the growth period and the variability of the carotene content is more obvious in the whole growth period, and is used for crop mapping by exploring the crop pigment variability characteristics in the whole growth period. Compared with other methods, it has the characteristics of good robustness, strong automation and anti-interference ability, and is suitable for high-precision mapping of large-scale crops. |
| priorityDate | 2020-11-24-04:00^^<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/substance/SID419587070 |
Total number of triples: 18.