The authors wish to make the following corrections to this paper [1]: Due to mislabeling, replace: Figure 6. Typical Neolithic settlements in the Tavoliere delle Puglie: (a) settlement of Masseria Schifata; (b) settlement of Passo di Corvo [36]. With Figure 6. Example of evidence of the ancient landscape and archaeological remains in Apulia: (i) blue lines represent palaeoriver; (ii) red lines represent the Neolithic settlements of Palmori and Schifata; (iii) orange lines represent roads; (iv) light blue lines represent hydromorphic marks related to an ancient marshy environment; (v) black and grey lines represent modern roads, channels and fields [14] Figure 5. The authors would like to apologize for any inconvenience caused to the readers by these changes.

Correction: Elfadaly, A.; Abate, N.; Masini, N.; Lasaponara, R. SAR Sentinel 1 imaging and detection of palaeo-landscape features in the Mediterranean Area. Remote Sens. 2020, 12, 2611

Abate N;Masini N;Lasaponara R
2020

Abstract

The authors wish to make the following corrections to this paper [1]: Due to mislabeling, replace: Figure 6. Typical Neolithic settlements in the Tavoliere delle Puglie: (a) settlement of Masseria Schifata; (b) settlement of Passo di Corvo [36]. With Figure 6. Example of evidence of the ancient landscape and archaeological remains in Apulia: (i) blue lines represent palaeoriver; (ii) red lines represent the Neolithic settlements of Palmori and Schifata; (iii) orange lines represent roads; (iv) light blue lines represent hydromorphic marks related to an ancient marshy environment; (v) black and grey lines represent modern roads, channels and fields [14] Figure 5. The authors would like to apologize for any inconvenience caused to the readers by these changes.
2020
Istituto di Metodologie per l'Analisi Ambientale - IMAA
Istituto di Scienze del Patrimonio Culturale - ISPC
Correction
SAR Sentinel
imaging and detection
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Descrizione: Correction: SAR Sentinel 1 imaging and detection of palaeo-landscape features in the Mediterranean Area. Remote Sens. 2020, 12, 2611
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/386654
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