Sensitivities of Normalized Difference Vegetation Index and a Green/Red Ratio Index to Cotton Ground Cover FractionRITCHIE, G. L; SULLIVAN, D. G; VENCILL, W. K et al.Crop science. 2010, Vol 50, Num 3, pp 1000-1010, issn 0011-183X, 11 p.Article

Biophysical remote sensing of arctic environmentsLAIDLER, Gita J; TREITZ, Paul.Progress in physical geography. 2003, Vol 27, Num 1, pp 44-68, issn 0309-1333, 25 p.Article

Remote sensing of weather impacts on vegetation in non-homogeneous areasKOGAN, F. N.International journal of remote sensing (Print). 1990, Vol 11, Num 8, pp 1405-1419, issn 0143-1161, 15 p.Article

Development of vegetation and soil indices for MODIS-EOSHUETE, A; JUSTICE, C; LIU, H et al.Remote sensing of environment. 1994, Vol 49, Num 3, pp 224-234, issn 0034-4257Conference Paper

Territorial'naja differenciacija agroekonomičeskih pokazatelej hlopkovodstvaDEMIN, A.P.Geografiâ i prirodnye resursy. 1993, Num 4, pp 78-86, issn 0206-1619Article

Determination of vegetation cover fraction by inversion of a four-parameter model based on isoline parametrizationKALLEL, A; LE HÉGARAT-MASCLE, S; OTTLÉ, C et al.Remote sensing of environment. 2007, Vol 3, Num 4, pp 553-566, issn 0034-4257, 14 p.Article

Employing broadband spectra and cluster analysis to assess thermal defoliation of cottonFLETCHER, Reginald S; SHOWIER, Allan T; FUNK, Paul A et al.Computers and electronics in agriculture. 2014, Vol 105, pp 103-110, issn 0168-1699, 8 p.Article

NDVI for sets of mixed pixelsFARAKLIOTI, M; PETROU, M.SPIE proceedings series. 1999, pp 138-149, isbn 0-8194-3466-3Conference Paper

A comparison between field-measured NDVI and visual estimates of grass greenness in buffalo-foraging areasPARRINI, Francesca; MACINDOE, Michael; ERASMUS, Barend F. N et al.African journal of ecology. 2013, Vol 51, Num 4, pp 641-643, issn 0141-6707, 3 p.Article

Etude du couvert végétal (NDVI) par télédétection (NOAA-AVHRR)DUBREUIL, V; LE DÛ, L.Le climat, l'eau et les hommes. Ouvrage en l'honneur de Jean Mounier. 1997, pp 45-63, isbn 2-86847-245-1Book Chapter

The phenological pattern of vegetation in Namaqualand, South Africa and its climatic correlates using NOAA-AVHRR NDVI dataFOX, S.C; HOFFMAN, M.T; HOARE, D et al.South African geographical journal. 2005, Vol 87, Num 2, pp 85-94, issn 0373-6245, 10 p.Article

Satellite change detection of Forest harvest patterns on an industrial Forest landscapeSADER, Steven A; BERTRAND, Matthew; WILSON, Emily Hoffhine et al.Forest science. 2003, Vol 49, Num 3, pp 341-353, issn 0015-749X, 13 p.Article

Results of analysis of human impact on environment using the time series of vegetation satellite images around large industrial centersSHEVYRNOGOV, A; VYSOTSKAYA, G; SUKHININ, A et al.Advances in space research. 2008, Vol 41, Num 1, pp 36-40, issn 0273-1177, 5 p.Article

An automated stand-alone in-field remote sensing system (SIRSS) for in-season crop monitoringHAITAO XIANG; LEI TIAN.Computers and electronics in agriculture. 2011, Vol 78, Num 1, pp 1-8, issn 0168-1699, 8 p.Article

Vicarious radiometric calibration of a multispectral sensor from an aerial trike applied to precision agricultureHERRERO-HUERTA, Mónica; HERNANDEZ-LOPEZ, David; RODRIGUEZ-GONZALVEZ, Pablo et al.Computers and electronics in agriculture. 2014, Vol 108, pp 28-38, issn 0168-1699, 11 p.Article

Monitoring surface soil moisture status based on remotely sensed surface temperature and vegetation index informationLIANGSUN; RUISUN; XIAOWENLI et al.Agricultural and forest meteorology (Print). 2012, Vol 166-67, pp 175-187, issn 0168-1923, 13 p.Article

A multi-sensor approach for predicting biomass of extensively managed grasslandREDDERSEN, Björn; FRICKE, Thomas; WACHENDORF, Michael et al.Computers and electronics in agriculture. 2014, Vol 109, pp 247-260, issn 0168-1699, 14 p.Article

Using crop reflectance to determine sidedress N rate in potato saves N and maintains yieldVAN EVERT, Frits K; BOOIJ, Remmie; JUKEMA, Jan Nammen et al.European journal of agronomy. 2012, Vol 43, pp 58-67, issn 1161-0301, 10 p.Article

Verification of color vegetation indices for automated crop imaging applicationsMEYER, George E; CAMARGO, Joao.Computers and electronics in agriculture. 2008, Vol 63, Num 2, pp 282-293, issn 0168-1699, 12 p.Article

Spectral response of the seagrass Zostera noltii with different sediment backgroundsBARGAIN, A; ROBIN, M; LE MEN, E et al.Aquatic botany. 2012, Vol 98, Num 1, pp 45-56, issn 0304-3770, 12 p.Article

The vegetation classification in coal mine overburden dump using canopy spectral reflectanceHONG SUN; MINZAN LI; DAOLIANG LI et al.Computers and electronics in agriculture. 2011, Vol 75, Num 1, pp 176-180, issn 0168-1699, 5 p.Article

A comparison of operational remote sensing-based models for estimating crop evapotranspirationGONZALEZ-DUGO, M. P; NEALE, C. M. U; MATEOS, L et al.Agricultural and forest meteorology (Print). 2009, Vol 149, Num 11, pp 1843-1853, issn 0168-1923, 11 p.Article

Estimation of moisture availability over the Liudaogou river basin of the Loess Plateau using new indices with surface temperatureKIMURA, R.Journal of arid environments. 2007, Vol 70, Num 2, pp 237-252, issn 0140-1963, 16 p.Article

Estimation of leaf water content in cotton by means of hyperspectral indicesYI, Qiu-Xiang; BAO, An-Ming; QIANG WANG et al.Computers and electronics in agriculture. 2013, Vol 90, pp 144-151, issn 0168-1699, 8 p.Article

A methodological approach for defining spectral indices for assessing tomato nitrogen status and yieldGIANQUINTO, G; ORSINI, F; FECONDINI, M et al.European journal of agronomy. 2011, Vol 35, Num 3, pp 135-143, issn 1161-0301, 9 p.Article