FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896097557> ?p ?o ?g. }

• W2896097557 endingPage "1657" @default.
• W2896097557 startingPage "1657" @default.
• W2896097557 abstract "Crop residues serve many important functions in agricultural conservation including preserving soil moisture, building soil organic carbon, and preventing erosion. Percent crop residue cover on a field surface reflects the outcome of tillage intensity and crop management practices. Previous studies using proximal hyperspectral remote sensing have demonstrated accurate measurement of percent residue cover using residue indices that characterize cellulose and lignin absorption features found between 2100 nm and 2300 nm in the shortwave infrared (SWIR) region of the electromagnetic spectrum. The 2014 launch of the WorldView-3 (WV3) satellite has now provided a space-borne platform for the collection of narrow band SWIR reflectance imagery capable of measuring these cellulose and lignin absorption features. In this study, WorldView-3 SWIR imagery (14 May 2015) was acquired over farmland on the Eastern Shore of Chesapeake Bay (Maryland, USA), was converted to surface reflectance, and eight different SWIR reflectance indices were calculated. On-farm photographic sampling was used to measure percent residue cover at a total of 174 locations in 10 agricultural fields, ranging from plow-till to continuous no-till management, and these in situ measurements were used to develop percent residue cover prediction models from the SWIR indices using both polynomial and linear least squares regressions. Analysis was limited to agricultural fields with minimal green vegetation (Normalized Difference Vegetation Index < 0.3) due to expected interference of vegetation with the SWIR indices. In the resulting residue prediction models, spectrally narrow residue indices including the Shortwave Infrared Normalized Difference Residue Index (SINDRI) and the Lignin Cellulose Absorption Index (LCA) were determined to be more accurate than spectrally broad Landsat-compatible indices such as the Normalized Difference Tillage Index (NDTI), as determined by respective R2 values of 0.94, 0.92, and 0.84 and respective residual mean squared errors (RMSE) of 7.15, 8.40, and 12.00. Additionally, SINDRI and LCA were more resistant to interference from low levels of green vegetation. The model with the highest correlation (2nd order polynomial SINDRI, R2 = 0.94) was used to convert the SWIR imagery into a map of crop residue cover for non-vegetated agricultural fields throughout the imagery extent, describing the distribution of tillage intensity within the farm landscape. WorldView-3 satellite imagery provides spectrally narrow SWIR reflectance measurements that show utility for a robust mapping of crop residue cover." @default.
• W2896097557 created "2018-10-26" @default.
• W2896097557 creator A5011238087 @default.
• W2896097557 creator A5041642916 @default.
• W2896097557 creator A5046606001 @default.
• W2896097557 creator A5051484384 @default.
• W2896097557 creator A5055936854 @default.
• W2896097557 creator A5060538952 @default.
• W2896097557 date "2018-10-18" @default.
• W2896097557 modified "2023-10-13" @default.
• W2896097557 title "Mapping Crop Residue and Tillage Intensity Using WorldView-3 Satellite Shortwave Infrared Residue Indices" @default.
• W2896097557 cites W1567013193 @default.
• W2896097557 cites W1967233934 @default.
• W2896097557 cites W1985370128 @default.
• W2896097557 cites W1987305298 @default.
• W2896097557 cites W1988252877 @default.
• W2896097557 cites W1990453644 @default.
• W2896097557 cites W1993112692 @default.
• W2896097557 cites W2000860635 @default.
• W2896097557 cites W2006280268 @default.
• W2896097557 cites W2012107446 @default.
• W2896097557 cites W2029791678 @default.
• W2896097557 cites W2035282905 @default.
• W2896097557 cites W2035297355 @default.
• W2896097557 cites W2037714040 @default.
• W2896097557 cites W2068792798 @default.
• W2896097557 cites W2086803282 @default.
• W2896097557 cites W2088089964 @default.
• W2896097557 cites W2090881597 @default.
• W2896097557 cites W2105718554 @default.
• W2896097557 cites W2106847794 @default.
• W2896097557 cites W2114824682 @default.
• W2896097557 cites W2133713720 @default.
• W2896097557 cites W2134030619 @default.
• W2896097557 cites W2157345152 @default.
• W2896097557 cites W2157567039 @default.
• W2896097557 cites W2165880342 @default.
• W2896097557 cites W2168992296 @default.
• W2896097557 cites W2342762596 @default.
• W2896097557 cites W2514171204 @default.
• W2896097557 cites W2518537710 @default.
• W2896097557 cites W2528747924 @default.
• W2896097557 cites W2773013095 @default.
• W2896097557 cites W2782794599 @default.
• W2896097557 doi "https://doi.org/10.3390/rs10101657" @default.
• W2896097557 hasPublicationYear "2018" @default.
• W2896097557 type Work @default.
• W2896097557 sameAs 2896097557 @default.
• W2896097557 citedByCount "55" @default.
• W2896097557 countsByYear W28960975572019 @default.
• W2896097557 countsByYear W28960975572020 @default.
• W2896097557 countsByYear W28960975572021 @default.
• W2896097557 countsByYear W28960975572022 @default.
• W2896097557 countsByYear W28960975572023 @default.
• W2896097557 crossrefType "journal-article" @default.
• W2896097557 hasAuthorship W2896097557A5011238087 @default.
• W2896097557 hasAuthorship W2896097557A5041642916 @default.
• W2896097557 hasAuthorship W2896097557A5046606001 @default.
• W2896097557 hasAuthorship W2896097557A5051484384 @default.
• W2896097557 hasAuthorship W2896097557A5055936854 @default.
• W2896097557 hasAuthorship W2896097557A5060538952 @default.
• W2896097557 hasBestOaLocation W28960975571 @default.
• W2896097557 hasConcept C118518473 @default.
• W2896097557 hasConcept C121332964 @default.
• W2896097557 hasConcept C127313418 @default.
• W2896097557 hasConcept C159078339 @default.
• W2896097557 hasConcept C16397148 @default.
• W2896097557 hasConcept C166957645 @default.
• W2896097557 hasConcept C183889291 @default.
• W2896097557 hasConcept C185592680 @default.
• W2896097557 hasConcept C205649164 @default.
• W2896097557 hasConcept C2776272892 @default.
• W2896097557 hasConcept C2781338088 @default.
• W2896097557 hasConcept C39432304 @default.
• W2896097557 hasConcept C55493867 @default.
• W2896097557 hasConcept C62520636 @default.
• W2896097557 hasConcept C62649853 @default.
• W2896097557 hasConcept C6557445 @default.
• W2896097557 hasConcept C74902906 @default.
• W2896097557 hasConcept C86803240 @default.
• W2896097557 hasConceptScore W2896097557C118518473 @default.
• W2896097557 hasConceptScore W2896097557C121332964 @default.
• W2896097557 hasConceptScore W2896097557C127313418 @default.
• W2896097557 hasConceptScore W2896097557C159078339 @default.
• W2896097557 hasConceptScore W2896097557C16397148 @default.
• W2896097557 hasConceptScore W2896097557C166957645 @default.
• W2896097557 hasConceptScore W2896097557C183889291 @default.
• W2896097557 hasConceptScore W2896097557C185592680 @default.
• W2896097557 hasConceptScore W2896097557C205649164 @default.
• W2896097557 hasConceptScore W2896097557C2776272892 @default.
• W2896097557 hasConceptScore W2896097557C2781338088 @default.
• W2896097557 hasConceptScore W2896097557C39432304 @default.
• W2896097557 hasConceptScore W2896097557C55493867 @default.
• W2896097557 hasConceptScore W2896097557C62520636 @default.
• W2896097557 hasConceptScore W2896097557C62649853 @default.
• W2896097557 hasConceptScore W2896097557C6557445 @default.
• W2896097557 hasConceptScore W2896097557C74902906 @default.
• W2896097557 hasConceptScore W2896097557C86803240 @default.

• next