Wiegand et al., 1991 - Google Patents

Vegetation indices in crop assessments

Wiegand et al., 1991

Document ID
17168049835438961601
Author
Wiegand C
Richardson A
Escobar D
Gerbermann A
Publication year
Publication venue
Remote sensing of Environment

External Links

Snippet

Vegetation indices (VI), such as greenness (GVI), perpendicular (PVI), transformed soil adjusted (TSAVI), and normalized difference (NDVI), measure the photosynthetic size of plant canopies and portend yields. A set of equations, called spectral components analysis …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G13/00—Protecting plants
    • A01G13/02—Protective coverings for plants; Coverings for the ground; Devices for laying-out or removing coverings
    • A01G13/0256—Ground coverings
    • A01G13/0268—Mats or sheets, e.g. nets or fabrics

Similar Documents

Publication Publication Date Title
Wiegand et al. Vegetation indices in crop assessments
Tennakoon et al. Estimation of cropped area and grain yield of rice using remote sensing data
Wiegand et al. Use of spectral vegetation indices to infer leaf area, evapotranspiration and yield: I. Rationale
Pereira et al. Prediction of crop coefficients from fraction of ground cover and height. Background and validation using ground and remote sensing data
Plant et al. Relationships between remotely sensed reflectance data and cotton growth and yield
Neale et al. Development of reflectance-based crop coefficients for corn
Duan et al. Remote estimation of grain yield based on UAV data in different rice cultivars under contrasting climatic zone
Bausch Soil background effects on reflectance-based crop coefficients for corn
Wiegand et al. Leaf area index estimates for wheat from LANDSAT and their implications for evapotranspiration and crop modeling 1
Lobell et al. Remote sensing of regional crop production in the Yaqui Valley, Mexico: estimates and uncertainties
Turner et al. Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites
Ahlrichs et al. Relation of agronomic and multispectral reflectance characteristics of spring wheat canopies 1
Seiler et al. AVHRR-based vegetation and temperature condition indices for drought detection in Argentina
Jayanthi et al. Development and validation of canopy reflectance-based crop coefficient for potato
Steinmetz et al. Spectral estimates of the absorbed photosynthetically active radiation and light-use efficiency of a winter wheat crop subjected to nitrogen and water deficiencies
Camargo et al. Impact of water deficit on light interception, radiation use efficiency and leaf area index in a potato crop (Solanum tuberosum L.)
Wiegand et al. Use of spectral vegetation indices to infer leaf area, evapotranspiration and yield: II. Results
Thomason et al. Defining useful limits for spectral reflectance measures in corn
Wiegand et al. Drought detection and quantification by reflectance and thermal responses
Martins et al. Estimation of biometric, physiological, and nutritional variables in lettuce seedlings using multispectral images
Yang et al. Estimating cabbage physical parameters using remote sensing technology
Sivarajan Estimating yield of irrigated potatoes using aerial and satellite remote sensing
BAI et al. Estimating aboveground fresh biomass of different cotton canopy types with homogeneity models based on hyper spectrum parameters
Krapez et al. Comparison of three methods based on the temperature-NDVI diagram for soil moisture characterization
Wanjura et al. Spectral detection of emergence in corn and cotton