Determination of ice cloud models using MODIS and MISR data

By Yu Xie, Ping Yang, George W. Kattawar, P. Minnis, Yongxiang Hu, Dong L. Wu. 2012

301 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. (2014, background): “…addition, although the short-term variation in leaf-level PRI appears indeed to be controlled by NPQ, the seasonal variation in leaf-level PRI seems to be controlled by the slow changes in pigment pools rather than NPQ (Stylinski et al., 2002; Filella et al., 2009; Porcar-Castell et al., 2012).”
Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution via NDWI-Based Image Sharpening (2017, methodology): “The Normalised Burn Ratio (NBR) (Equation (6)) [36] and improved NBR thermal 1 (Equation (7)) [37] are applied with relatively low-resolution SWIR and thermal bands, thereby improving separability between burned and unburned land.”
Estimating crop chlorophyll content with hyperspectral vegetation indices and the hybrid inversion method (2016, background): “A large number of studies showed that the PRI can be used to assess plant stress and estimate plant physiological parameters, such as light use efficiency (Nakaji, Oguma, and Fujinuma 2006; Suarez et al. 2008; Filella et al. 2009; Garbulsky et al. 2011; Zarco-Tejada et al. 2013; Mand et al. 2010).”