scispace - formally typeset
Open AccessJournal ArticleDOI

Measuring land-use and land-cover change using the U.S. department of agriculture’s cropland data layer: Cautions and recommendations

Reads0
Chats0
TLDR
Recommendations generated here are intended specifically for the CDL but may be broadly applicable to additional remotely-sensed land cover datasets including the National Land Cover Database (NLCD), Moderate Resolution Imaging Spectroradiometer (MODIS)-based land cover products, and other regional, national, and global land cover classification maps.
About
This article is published in International Journal of Applied Earth Observation and Geoinformation.The article was published on 2017-10-01 and is currently open access. It has received 119 citations till now. The article focuses on the topics: Land cover & Land use.

read more

Citations
More filters
Journal Article

Going, going-- gone!

Oliver Clark
- 01 Dec 2008 - 
TL;DR: Clark discovers more about a new online auction site that is designed to save airports money as mentioned in this paper, which is a new auction site designed specifically for air travel, and he uses it to save airport money.
Journal ArticleDOI

Cropland expansion in the United States produces marginal yields at high costs to wildlife.

TL;DR: It is found that croplands have expanded at a rate of over one million acres per year, and that 69.5% of new cropland areas produced yields below the national average, with a mean yield deficit of 6.5%.
Journal ArticleDOI

Land use/land cover in view of earth observation: data sources, input dimensions, and classifiers—a review of the state of the art

TL;DR: Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately connected to many phases of the human and physical environment as mentioned in this paper, and Earth observation (EO) technology provides an in...
Journal ArticleDOI

Characterizing land cover/land use from multiple years of Landsat and MODIS time series: A novel approach using land surface phenology modeling and random forest classifier

TL;DR: In this article, an approach to map land cover utilizing multi-temporal Earth Observation data from Landsat and MODIS is presented. But the results indicate that their proposed method accurately mapped major crops in the study area but showed limited accuracy for non-vegetated land covers.
Journal ArticleDOI

Robust Landsat-based crop time series modelling

TL;DR: In this article, the capability of 5- and 7-parameter linear harmonic models and a 5parameter non-linear harmonic model applied to a year of Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced ThematicMapper Plus (ETM+) ARD is investigated.
References
More filters
BookDOI

Assessing the accuracy of remotely sensed data : principles and practices

TL;DR: This chapter discusses Accuracy Assessment, which examines the impact of sample design on cost, statistical Validity, and measuring Variability in the context of data collection and analysis.
Journal ArticleDOI

Forecasting agriculturally driven global environmental change

TL;DR: Should past dependences of the global environmental impacts of agriculture on human population and consumption continue, 109 hectares of natural ecosystems would be converted to agriculture by 2050, accompanied by 2.4- to 2.7-fold increases in nitrogen- and phosphorus-driven eutrophication of terrestrial, freshwater, and near-shore marine ecosystems.
Journal ArticleDOI

MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets

TL;DR: The datasets and algorithms used to create the Collection 5 MODIS Global Land Cover Type product, which is substantially changed relative to Collection 4, are described, with a four-fold increase in spatial resolution and changes in the input data and classification algorithm.
Related Papers (5)