Matches in SemOpenAlex for { <https://semopenalex.org/work/W2593707922> ?p ?o ?g. }
- W2593707922 endingPage "287" @default.
- W2593707922 startingPage "278" @default.
- W2593707922 abstract "As a preparatory study for future hyperspectral missions that can measure canopy chemistry, we introduce a novel approach to investigate whether multi-angle Moderate Resolution Imaging Spectroradiometer (MODIS) data can be used to generate a preliminary database with long-term estimates of chlorophyll. MODIS monthly chlorophyll estimates between 2000 and 2015, derived from a fully coupled canopy reflectance model (ProSAIL), were inspected for consistency with eddy covariance fluxes, tower-based hyperspectral images and chlorophyll measurements. MODIS chlorophyll estimates from the inverse model showed strong seasonal variations across two flux-tower sites in central and eastern Amazon. Marked increases in chlorophyll concentrations were observed during the early dry season. Remotely sensed chlorophyll concentrations were correlated to field measurements (r2 = 0.73 and r2 = 0.98) but the data deviated from the 1:1 line with root mean square errors (RMSE) ranging from 0.355 μg cm−2 (Tapajós tower) to 0.470 μg cm−2 (Manaus tower). The chlorophyll estimates were consistent with flux tower measurements of photosynthetically active radiation (PAR) and net ecosystem productivity (NEP). We also applied ProSAIL to mono-angle hyperspectral observations from a camera installed on a tower to scale modeled chlorophyll pigments to MODIS observations (r2 = 0.73). Chlorophyll pigment concentrations (ChlA+B) were correlated to changes in the amount of young and mature leaf area per month (0.59 ≤ r2 ≤ 0.64). Increases in MODIS observed ChlA+B were preceded by increased PAR during the dry season (0.61 ≤ r2 ≤ 0.62) and followed by changes in net carbon uptake. We conclude that, at these two sites, changes in LAI, coupled with changes in leaf chlorophyll, are comparable with seasonality of plant productivity. Our results allowed the preliminary development of a 15-year time series of chlorophyll estimates over the Amazon to support canopy chemistry studies using future hyperspectral sensors." @default.
- W2593707922 created "2017-03-16" @default.
- W2593707922 creator A5006999542 @default.
- W2593707922 creator A5014988413 @default.
- W2593707922 creator A5018535593 @default.
- W2593707922 creator A5019044409 @default.
- W2593707922 creator A5021452248 @default.
- W2593707922 creator A5022823173 @default.
- W2593707922 creator A5025001851 @default.
- W2593707922 creator A5026522258 @default.
- W2593707922 creator A5033780942 @default.
- W2593707922 creator A5034686488 @default.
- W2593707922 creator A5045065046 @default.
- W2593707922 creator A5066469558 @default.
- W2593707922 creator A5070969548 @default.
- W2593707922 creator A5071660339 @default.
- W2593707922 creator A5073057500 @default.
- W2593707922 creator A5075299749 @default.
- W2593707922 creator A5077053882 @default.
- W2593707922 creator A5087190259 @default.
- W2593707922 creator A5088177616 @default.
- W2593707922 creator A5091088692 @default.
- W2593707922 date "2017-06-01" @default.
- W2593707922 modified "2023-09-26" @default.
- W2593707922 title "Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model" @default.
- W2593707922 cites W116253160 @default.
- W2593707922 cites W1184145137 @default.
- W2593707922 cites W1548277301 @default.
- W2593707922 cites W1572816320 @default.
- W2593707922 cites W173148493 @default.
- W2593707922 cites W1772504446 @default.
- W2593707922 cites W1985590055 @default.
- W2593707922 cites W1998484215 @default.
- W2593707922 cites W2006563460 @default.
- W2593707922 cites W2008745681 @default.
- W2593707922 cites W2011863082 @default.
- W2593707922 cites W2032638770 @default.
- W2593707922 cites W2041177409 @default.
- W2593707922 cites W2063676353 @default.
- W2593707922 cites W2090379587 @default.
- W2593707922 cites W2101525665 @default.
- W2593707922 cites W2102970817 @default.
- W2593707922 cites W2110849583 @default.
- W2593707922 cites W2121025745 @default.
- W2593707922 cites W2126559941 @default.
- W2593707922 cites W2130094125 @default.
- W2593707922 cites W2138428669 @default.
- W2593707922 cites W2138528351 @default.
- W2593707922 cites W2152074508 @default.
- W2593707922 cites W2152092242 @default.
- W2593707922 cites W2155138877 @default.
- W2593707922 cites W2178772865 @default.
- W2593707922 cites W2289244918 @default.
- W2593707922 doi "https://doi.org/10.1016/j.jag.2017.01.014" @default.
- W2593707922 hasPublicationYear "2017" @default.
- W2593707922 type Work @default.
- W2593707922 sameAs 2593707922 @default.
- W2593707922 citedByCount "13" @default.
- W2593707922 countsByYear W25937079222017 @default.
- W2593707922 countsByYear W25937079222018 @default.
- W2593707922 countsByYear W25937079222019 @default.
- W2593707922 countsByYear W25937079222020 @default.
- W2593707922 countsByYear W25937079222021 @default.
- W2593707922 countsByYear W25937079222022 @default.
- W2593707922 countsByYear W25937079222023 @default.
- W2593707922 crossrefType "journal-article" @default.
- W2593707922 hasAuthorship W2593707922A5006999542 @default.
- W2593707922 hasAuthorship W2593707922A5014988413 @default.
- W2593707922 hasAuthorship W2593707922A5018535593 @default.
- W2593707922 hasAuthorship W2593707922A5019044409 @default.
- W2593707922 hasAuthorship W2593707922A5021452248 @default.
- W2593707922 hasAuthorship W2593707922A5022823173 @default.
- W2593707922 hasAuthorship W2593707922A5025001851 @default.
- W2593707922 hasAuthorship W2593707922A5026522258 @default.
- W2593707922 hasAuthorship W2593707922A5033780942 @default.
- W2593707922 hasAuthorship W2593707922A5034686488 @default.
- W2593707922 hasAuthorship W2593707922A5045065046 @default.
- W2593707922 hasAuthorship W2593707922A5066469558 @default.
- W2593707922 hasAuthorship W2593707922A5070969548 @default.
- W2593707922 hasAuthorship W2593707922A5071660339 @default.
- W2593707922 hasAuthorship W2593707922A5073057500 @default.
- W2593707922 hasAuthorship W2593707922A5075299749 @default.
- W2593707922 hasAuthorship W2593707922A5077053882 @default.
- W2593707922 hasAuthorship W2593707922A5087190259 @default.
- W2593707922 hasAuthorship W2593707922A5088177616 @default.
- W2593707922 hasAuthorship W2593707922A5091088692 @default.
- W2593707922 hasBestOaLocation W25937079221 @default.
- W2593707922 hasConcept C101000010 @default.
- W2593707922 hasConcept C108597893 @default.
- W2593707922 hasConcept C110872660 @default.
- W2593707922 hasConcept C120665830 @default.
- W2593707922 hasConcept C121332964 @default.
- W2593707922 hasConcept C127313418 @default.
- W2593707922 hasConcept C1276947 @default.
- W2593707922 hasConcept C130066347 @default.
- W2593707922 hasConcept C131366478 @default.
- W2593707922 hasConcept C166957645 @default.
- W2593707922 hasConcept C183688256 @default.