Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments

Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments

Saved in:

Bibliographic Details
Main Authors:	Hoefsloot P, Ines, Amor V.M., Dam, Jos C. van, Duveiller, Gregory, Kayitakire, Francois, Hansen, James
Published:	2013-01-25T16:06:18Z
Online Access:	https://hdl.handle.net/10568/25135
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Assimilation of remotely sensed soil moisture and vegetation with a crop simulation model for maize yield prediction
by: Ines, Amor V.M., et al.
Published: (2013-10-21T15:30:49Z)

Concepts of remote sensing
Published: (2021)

Yield prediction by crop modelling and remote sensing
by: Bouman, B.A.M. 187750, et al.
Published: (1997)

Transforming smallholder farming through remote sensing
by: Zurita Milla, Raul, et al.
Published: (2016-04)

Linking vegetation heterogeneity and functional attributes of temperate grasslands through remote sensing
by: Aragón, Roxana, et al.

Remote sensing of forest environments : concepts and case studies /
by: Franklin, Steven E., ed., et al.
Published: (2003)

Remote sensing of forest environments concepts and case studies
by: Wulder, M.A. (ed.), et al.
Published: (2003)

Remote sensing of forest environments concepts and case studies
by: Wulder, M.A. (ed.), et al.
Published: (2003)

Salinity assessment based on combined use of remote sensing and GIS
by: Casas, S. (Tamaulipas Univ. (Mexico)), et al.
Published: (1995)

Remote sensing; (statistics of remote sensing)
by: Odell, P.L.
Published: (1976)

Concepts of remote sensing applications for food production in developing countries
by: Howard, J.A., et al.
Published: (Nov )

Prediction of soil chemical attributes using optical remote sensing
by: Genú,Aline Marques, et al.
Published: (2011)

Anatomy of a local-scale drought: Application of assimilated remote sensing products, crop model, and statistical methods to an agricultural drought study
by: Mishra AK, et al.
Published: (2016-07-14T15:04:32Z)

Combined use of ground sampling and remote sensing for monitoring forest changes
by: Singh, K.D., et al.
Published: (1986)

Combining remote sensing and hydrological models to increase spatial and temporal resolution
by: Droogers, Peter, et al.
Published: (2000)

Concepts for global mapping of woody vegetation using remote sensing data
by: Howard, J.A., et al.
Published: (1985)

Remote sensing for mineral exploration : Manual of remote sensing
by: Sabine, Charles
Published: (1996)

Five ways satellite images, remote sensing and smartphones are combining to transform agriculture
by: Ghosh, Aniruddha, et al.
Published: (2022-05-12)

Evaporation estimates using a combined hydrological model and remote sensing approach
by: Droogers, Peter, et al.
Published: (2000)

Remote sensing /
by: Regan, Robert D. ed. 55505
Published: (c198)

Remote sensing
by: Society of American Foresters, Washington, DC (USA) eng
Published: (2003)

Planning for a global remote-sensing information system
by: GREGORY AF, et al.
Published: (1971)

Field-based remote sensing models predict radiation use efficiency in wheat
by: Robles-Zazueta, C.A., et al.
Published: (2021)

Soybean yield prediction using remote sensing in Southwestern Piauí State, Brazil.
by: ANDRADE, T. G., et al.
Published: (2021-12-23)

Prediction of cattle density and location at the frontier of Brazil and Paraguay using remote sensing
by: AMARAL, T. B., et al.
Published: (2015-02-26)

SOYBEAN YIELD PREDICTION USING REMOTE SENSING IN SOUTHWESTERN PIAUÍ STATE, BRAZIL
by: ANDRADE,THATIANE GOMES, et al.
Published: (2022)

Predicting the Extent of Wildfires Using Remotely Sensed Soil Moisture and Temperature Trends
by: Chaparro, David, et al.
Published: (2016-06)

Predicting of cattle density and location at the frontier of Brazil and Paraguay using remote sensing
by: Amaral, Thais Basso, et al.

Food security prediction from heterogeneous data combining machine and deep learning methods
by: Deleglise, Hugo, et al.

Combining geostatistical models and remotely sensed data to improve tropical tree richness mapping
by: JOSE LUIS HERNANDEZ STEFANONI

Remotely‐sensed primary productivity shows that domestic and native herbivores combined are overgrazing Patagonia
by: Oliva, Gabriel Esteban, et al.
Published: (2019-04)

Drone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in Kenya
by: CGIAR Research Program on Agriculture for Nutrition and Health
Published: (2021-12-31)

Remotely sensed land-surface energy fluxes at sub-field scale in heterogeneous agricultural landscape and coniferous plantation
by: Guzinski, Radoslaw, et al.
Published: (2014-09-18)

Assessing spatial heterogeneity and temporal dynamics of sugarcane landscape in Western Kenya by remote sensing: Implications for environmental services
by: Mulianga, Betty

Banana mapping in heterogenous smallholder farming systems using high-resolution remote sensing imagery and machine learning models with implications for banana bunchy top disease surveillance
by: Alabi, T.R., et al.
Published: (2022)

The added value of high-resolution above coarse-resolution remote sensing images in crop yield forecasting: A case study in the Egyptian Nile Delta
by: Droogers, Peter, et al.
Published: (2013-03-01T17:40:21Z)

Development of low-cost remote sensing tools and methods for supporting smallholder agriculture
by: Chucho Padin, Gonzalo, et al.
Published: (2019)

Development of low-cost remote sensing tools and methods for supporting smallholder agriculture
by: Cucho-Padin, G., et al.
Published: (2020-01-20T21:12:14Z)

REMOTE SENSING OF ENVIRONMENT

Principles of remote sensing
by: Curran, Paul J. 1955- autor/a
Published: (1985)

Resource Map

Cannot write session to /tmp/vufind_sessions/sess_9mg88jqgjmgq9vre3akr8co68s