An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery

By Mingquan Wu, Chaoyang Wu, Wenjiang Huang, Zheng Niu, Changyao Wang, Wang Li, Pengyu Hao. 2016

70 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Media Technology

How researchers see this paper

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

In Ecology

1. Darius Phiri
2. Justin Morgenroth

In Environmental Engineering

1. Darius Phiri
2. Justin Morgenroth

In Media Technology

1. Darius Phiri
2. Justin Morgenroth

Citations in the corpus

• A survey of data fusion in smart city applications (2019, background): “The most common data sources in modeling the city area are satellite images, which as stated before, it requires data enhancement such as [169], [170] before using it.”
• Developments in Landsat Land Cover Classification Methods: A Review (2017, background): “However, the malfunction of the Scan Line Corrector (SLC) on the ETM+ sensor makes the application of ETM+ images limited [27,28].”