Development of an NRCS curve number global dataset using the latest geospatial remote sensing data for worldwide hydrologic applications

Adjustment to the curve number (NRCS-CN) to account for the vegetation effect on hydrological processes

(2015) Alvaro Gonzalez et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Estimating Composite Curve Number Using an Improved SCS-CN Method with Remotely Sensed Variables in Guangzhou, China

(2013) Fenglei Fan et al.   Remote Sensing

Distributed rainfall-runoff modelling for flood frequency estimation and flood forecasting

(2011) L. Brocca et al.   HYDROLOGICAL PROCESSES

An improved AMC-coupled runoff curve number model

(2010) Ram Kumar Sahu et al.   HYDROLOGICAL PROCESSES

Evaluation of a satellite-based global flood monitoring system

(2010) Koray K. Yilmaz et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

The Soil Moisture Active Passive (SMAP) Mission

(2010) Dara Entekhabi et al.   PROCEEDINGS OF THE IEEE

Improving Curve Number Based Storm Runoff Estimates Using Soil Moisture Proxies

(2009) Hylke E. Beck et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Digital Soil Map of the World

(2009) P. A. Sanchez et al.   SCIENCE

Annual and seasonal streamflow responses to climate and land-cover changes in the Poyang Lake basin, China

(2008) Hua Guo et al.   JOURNAL OF HYDROLOGY

Development of a continuous soil moisture accounting procedure for curve number methodology and its behaviour with different evapotranspiration methods

(2007) N. Kannan et al.   HYDROLOGICAL PROCESSES

Estimation of global SCS curve numbers using satellite remote sensing and geospatial data

(2007) Y. Hong et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING