Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8ee0da6543d4d16f0634e75baf2d0d58 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30188 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02E50-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10048 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10024 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-56 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-188 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-764 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-26 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-56 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-26 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-70 |
filingDate |
2022-05-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b3665d9bc76b7fc6ce432bac477b0342 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9b626ad9681fe465a103507d665f0b63 |
publicationDate |
2022-12-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-2022392215-A1 |
titleOfInvention |
System and Method for Mapping Land Cover Types with Landsat, Sentinel-1, and Sentinel-2 Images |
abstract |
A computer system having a processor executing a set of instructions that cause the processor to receive first image data having pixel information of a geographic region; calculate for particular real-world locations within the geographic region, a plurality of vegetation indices with combinations of the pixel information; generate a land cover mask with the vegetation indices, the land cover mask identifying first real-world locations within the geographic region having a water-related land cover type, a non-vegetated land cover type and an evergreen land cover type; classify second real-world locations within the geographic region that are not classified as the water-related land cover type, the non-vegetated land cover type and the evergreen land cover type as cropland; and analyze a time-series of image data depicting the second real-world locations within the geographic region with phenology metrics to identify at least one particular type of cropland within the second real-world locations. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115995044-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116563720-A |
priorityDate |
2021-05-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |