Addendum: Arvor, D. et al. Monitoring Rainfall Patterns in the Southern Amazon with PERSIANN-CDR Data: Long-Term Characteristics and Trends. Remote Sens. 2017, 9, 889

Monitoring Rainfall Patterns in the Southern Amazon with PERSIANN-CDR Data: Long-Term Characteristics and Trends

Satellite-derived estimates of precipitation are essential to compensate for missing rainfall measurements in regions where the homogeneous and continuous monitoring of rainfall remains challenging due to low density rain gauge networks. The Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks—Climate Data Record (PERSIANN-CDR) is a relatively new product (...

Addendum: Bian, Z. et al. A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index. Remote Sens. 2017, 9, 780

Zunjian Bian 1,2, Biao Cao 1,†, Hua Li 1,†, Yongming Du 1,*, Lisheng Song 3, Wenjie Fan 4, Qing Xiao 1,† and Qinhuo Liu 1,* ID 1 State Key Laboratory of Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 10010, China; [email protected] (Z.B.); [email protected] (B.C.); [email protected] (H.L.); [email protected] (Q.X.) 2 College of Resources...

Correction: Yao, P. et al. Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopted the Microwave Vegetation Index. Remote Sens. 2017, 9, 35

Panpan Yao 1,2 ID , Jiancheng Shi 2,3,*, Tianjie Zhao 2,3, Hui Lu 3,4 and Amen Al-Yaari 5 1 Graduate School of University of Chinese Academy of Sciences, Beijing 100049, China; [email protected] 2 State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; [email protected] 3 The Joint Center for Global Change...

Erratum: Tan C., et al. Spatial-Temporal Characteristics and Climatic Responses of Water Level Fluctuations of Global Major Lakes from 2002 to 2010. Remote Sens. 2017, 9, 150

Evaluation of PERSIANN-CDR for Meteorological Drought Monitoring over China

In this paper, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) is analyzed for the assessment of meteorological drought. The evaluation is conducted over China at 0.5 ̋ spatial resolution against a ground-based gridded China monthly Precipitation Analysis Product (CPAP) from 1983 to 2014 (32 years). The Standardized Pr...